Publications of Tom Oomen

Working manuscripts

3. Closed-loop data-enabled predictive control and its equivalence with closed-loop sbspace predictive control [arXiv]

Rogier Dinkla, Sebastiaan Mulders, Tom Oomen, and Jan-Willem van Wingerden
arXiv

2. Identification of additive continuous-time systems in open and closed-loop [arXiv]

Rodrigo A. González, Koen Classens, Cristian R. Rojas, James S. Welsh, and Tom Oomen
arXiv

1. Structured ambiguity sets for distributionally robust optimization [arXiv]

Lotfi M. Chaouach, Tom Oomen, Dimitris Boskos
arXiv

Journal Articles

124. Random learning leads to faster convergence in ‘model-free’ ILC: with application to MIMO feedforward in industrial printing [pdf|link]

Leontine Aarnoudse and Tom Oomen
International Journal of Adaptive Control and Signal Processing

123. Vibration control under frequency-varying disturbances with application to satellites [pdf|pure|link]

Tom Bloemers, Sjoerd Leemrijse, Valentin Preda, Fabrice Boquet, Tom Oomen, Roland Tóth
IEEE Transactions on Control Systems Technology

122. Online decoupling of the time-varying longitudinal feedback loops for improved performance in Advanced Virgo Plus

Mathyn van Dael, Gert Witvoet, Bas Swinkels, Manuel Pinto, Julia Casanueva, Diego Bersanetti, Paolo Ruggi, Maddalena Mantovani, and Tom Oomen
Classical and Quantum Gravity

121. Scaled graphs for reset control system analysis [link|pure]

Sebastiaan van den Eijnden, Thomas Chaffey, Tom Oomen, W.P.M.H. Heemels
European Journal of Control

120. A frequency-domain approach for enhanced performance and task flexibility in finite-time ILC [pure|link]

Max van Haren, Kentaro Tsurumoto, Masahiro Mae, Lennart Blanken, Wataru Ohnishi, Tom Oomen
European Journal of Control

119. Experimentally-efficient data-driven rational feedforward control for multivariable systems [link]

Maurice Poot, Jim Portegies, Dragan Kostić, and Tom Oomen
International Journal of Control

118. Position-dependent motion feedforward via Gaussian processes: Applied to snap and force ripple in semiconductor equipment [pdf|pure|link]

Maurice Poot, Max van Haren, Dragan Kostić, Jim Portegies and Tom Oomen
IEEE Transactions on Control Systems Technology

117. Nonlinear iterative learning control for discriminating between disturbances [pdf]

Leontine Aarnoudse, Alexey Pavlov, Tom Oomen
Automatica, 171:111902, 2025

116. Control of the laser frequency in the Virgo interferometer: Dynamic noise budgeting for controller optimization [link]

Mathyn van Dael, Julia Casanueva, Gert Witvoet, Bas Swinkels, Diego Bersanetti, Manuel Pinto, Paolo Ruggi, Maddalena Mantovani, Camilla de Rossi, Piernicola Spinicelli, Mattia Boldrini, and Tom Oomen
Astroparticle Physics, 164:103028, 2025

115. Multirate repetitive control for an industrial print-belt system [link]

Leontine Aarnoudse, Kevin Cox, Sjirk Koekebakker, Tom Oomen
IFAC Mechatronics, 100:103187, 2024

114. Cross-coupled iterative learning control: A computationally efficient approach applied to an industrial flatbed printer [pdf|pure|link]

Leontine Aarnoudse, Johan Kon, Koen Classens, Max van Meer, Maurice Poot, Paul Tacx, Nard Strijbosch, and Tom Oomen
IFAC Mechatronics, 99:103170, 2024

113. Control-relevant neural networks for feedforward control with preview: Applied to an industrial flatbed printer [pdf|pure|link]

Leontine Aarnoudse, Johan Kon, Wataru Ohnishi, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen
IFAC Journal of Systems and Control, 27:100241, 2024

112. A design framework for nonlinear iterative learning control and repetitive control: Applied to three mechatronic case studies [link]

Leontine Aarnoudse, Alexey Pavlov, and Tom Oomen
Control Engineering Practice, 149:105976, 2024

111. Model-free control for an industrial long-stroke motion system with a nonlinear micropositioning actuator [link]

Yazan M. Al-Rawashdeh, Mohammad Al Saaideh, Marcel F. Heertjes, Tom Oomen, and Mohammad Al Janaideh
IFAC Mechatronics, 100:103257, 2024

110. Feedback linearisation of mechanical systems using data-driven models [link]

Merijn Floren, Koen Classens, Tom Oomen, Jean-Philippe Noël
Journal of Sound and Vibration, 577:118335, 2024

109. Statistical analysis of block coordinate descent algorithms for linear continuous-time system identification [arXiv|link]

Rodrigo A. González; Koen Classens; Cristian R. Rojas; James S. Welsh; Tom Oomen
IEEE Control Systems Letters, 8:388-393, 2024

108. Kernel-based identification using Lebesgue-sampled data [arXiv|link]

Rodrigo A. González, Koen Tiels, and Tom Oomen
Automatica, 164:111648: 2024

107. Improving breathing effort estimation in mechanical ventilation via optimal experiment design [link|pure]

Lars van de Kamp, Bram Hunnekens, Nathan van de Wouw, and Tom Oomen
IFAC Journal of Systems and Control, 28:100270, 2024

106. Automatic patient-ventilator asynchrony detection framework using objective asynchrony definitions [pure|link]

Lars van de Kamp, Joey Reinders, Bram Hunnekens, Tom Oomen, and Nathan van de Wouw
IFAC Journal of Systems and Control, 27:100236, 2024

105. Guaranteeing stability in structured input-output models: With application to system identification[pure|link]

Johan Kon, Roland Tóth, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
IEEE Control Systems Letters, 8:1565-1570, 2024

104. Compensating torque ripples in a coarse pointing mechanism for free-space optical communication: A Gaussian process repetitive control approach [link]

Noud Mooren, Max van Meer, Gert Witvoet, and Tom Oomen
IFAC Mechatronics, 97:103107, 2024

103. Reset-free data-driven gain estimation: Power iteration using reversed-circulant matrices [pure|arXiv|pdf|link]

Tom Oomen and Cristian R. Rojas
Automatica, 161:111505, 2024

102. Stable inversion of piecewise affine systems with application to feedforward and iterative learning control [link]

Isaac Spiegel, Nard Strijbosch, Robin de Rozario, Tom Oomen, and Kira Barton
IEEE Transactions on Automatic Control, 69(10):6836-6851, 2024

101. Identification of an overactuated deformable mirror system with unmeasured outputs [link|pure]

Paul Tacx, Roel Habraken, Gert Witvoet, Marcel Heertjes , Tom Oomen
Mechatronics, 99:103158, 2024

100. Integrated rational feedforward in frequency-domain iterative learning control for highly task-flexible motion control [link]

Kentaro Tsurumoto, Wataru Ohnishi, Takafumi Koseki, Max van Haren, and Tom Oomen
IEEE/ASME Transactions on Mechatronics, 29(4):3010-3018, 2024

99. Opportunities of digital twins for high-tech Systems: From fault diagnosis and predictive maintenance to control reconfiguration [link|pdf|pure|movie]

Koen Classens, Jeroen van de Wijdeven, Maurice Heemels, and Tom Oomen
Mikroniek, 5:5-12, 2023

98. A wavelet-based approach to FRF identification from incomplete data [pdf|link]

Nic Dirkx, Koen Tiels, and Tom Oomen
IEEE Transactions on Instrumentation and Measurement, 72:1-15, 2023

97. Beyond Nyquist in frequency response function identification: Applied to slow-sampled systems [arXiv|pure|link]

Max van Haren, Leonid Mirkin, Lennart Blanken, Tom Oomen
IEEE Control Systems Letters (L-CSS), 7: 2131-2136, 2023

96. Compensating commutation-angle domain disturbances with application to waveform optimization for piezo stepper actuators [link|pdf]

Leontine Aarnoudse, Nard Strijbosch, Paul Tacx, Edwin Verschueren, and Tom Oomen
IFAC Mechatronics, 94: 103016, 2023

95. On-line instrumental variable-based feedforward tuning for non-resetting motion tasks [link|pdf]

Noud Mooren, Gert Witvoet, and Tom Oomen
International Journal of Robust and Nonlinear Control, 33(18):11000-11018, 2023

94. Gaussian process repetitive control with application to an industrial substrate carrier system with spatial disturbances [pdf|link]

Noud Mooren, Gert Witvoet, and Tom Oomen
IEEE Transactions on Control Systems Technology, 31(1):344-358, 2023

93. State-tracking iterative learning control in frequency domain design for improved intersample behavior [pdf|link]

Wataru Ohnishi, Nard Strijbosch, and Tom Oomen
International Journal of Robust and Nonlinear Control, 33:4009-4027, 2023

92. Linear time-invariant model identification algorithm for mechatronic systems based on MIMO frequency response data [link]

Hessam Kalbasi Shirvani, Jason Qi Chen Zeng, Patrick Bevers, Tom Oomen, and Kaan Erkorkmaz
IEEE/ASME Transactions on Mechatronics, 28(2):703-714, 2023

91. Triggered repetitive control: Application to mechanically ventilated patients [pdf|link]

Joey Reinders, David Elshove, Bram Hunnekens, Nathan van de Wouw, and Tom Oomen
IEEE Transactions on Control Systems Technology, 31(4): 1581-1593, 2023

90. Repetitive control for Lur'e-type systems: Application to mechanical ventilation [pdf|link]

Joey Reinders, Mattia Giaccagli, Bram Hunnekens, Daniele Astolfi, Tom Oomen, and Nathan van de Wouw
IEEE Transactions on Control Systems Technology, 31(4):1819-1829, 2023

89. Frequency response function-based learning control: Analysis and design for finite-time convergence [pdf|link]

Robin de Rozario and Tom Oomen
IEEE Transactions on Automatic Control, 68(3):1807-1814, 2023

88. Memory-element based hysteresis: Identification and compensation of a piezoelectric actuator [pdf|link]

Nard Strijbosch, Koen Tiels, and Tom Oomen
IEEE Transactions on Control Systems Technology, 31(6):2683-2870, 2023

87. Comparing multivariable uncertain model structures for data-driven robust control: Visualization and application to a continuously variable transmission [link|pdf]

Paul Tacx and Tom Oomen
International Journal of Robust and Nonlinear Control, 33(16):9636-9664, 2023

86. Optimal iterative learning control design for continuous-time systems with nonidentical trial lengths using alternating projections between multiple sets [pdf|link]

Zhihe Zhuang, Hongfeng Tao, Yiyang Chen, Tom Oomen, Wojciech Paszke, and Eric Rogers
Journal of the Franklin Institute, 360(5):3825-3848, 2023

85. Alternating projection-based iterative learning control for discrete-time systems with non-uniform trial lengths [pdf|link]

Zhihe Zhuang, Hongfeng Tao, Yiyang Chen, Eric Rogers, Tom Oomen, and Wojciech Paszke
International Journal of Robust and Nonlinear Control, 33(12): 7333-7356, 2023

84. Frequency response data based LPV controller synthesis applied to a control moment gyroscope [pdf|link|arXiv]

Tom Bloemers, Tom Oomen, and Roland Tóth
IEEE Transactions on Control Systems Technology, 30(6):2734-2742, 2022

83. Frequency response data-driven LPV controller synthesis for MIMO systems [pdf|link]

Tom Bloemers, Tom Oomen, and Roland Tóth
IEEE Control Systems Letters (L-CSS), 6:2264-2269, 2022

82. A fast smoothing-based algorithm to generate l-infinity-norm constrained signals for multivariable experiment design [pdf|link]

Nic Dirkx, Marcel Bosselaar, and Tom Oomen
IEEE Control Systems Letters (L-CSS), 6:1784-1789, 2022

81. Incorporating prior knowledge in local parametric modeling for frequency response measurements: Applied to thermal/mechanical systems [pdf|link]

Enzo Evers, Bram de Jager, and Tom Oomen
IEEE Transactions on Control Systems Technology, 30(1), 142-152, 2022

80. Direct data-driven design of LPV controllers with soft performance specifications [pdf|link]

Max van Meer, Valentina Breschi, Tom Oomen, and Simone Formentin
Journal of the Franklin Institute, 359(2):816-836, 2022

79. Gaussian process repetitive control: Beyond periodic internal models through kernels [pdf|link]

Noud Mooren, Gert Witvoet, and Tom Oomen
Automatica, 140:110273, 2022

78. Gaussian processes for advanced motion control [link|pure|pdf]

Maurice Poot, Jim Portegies, Noud Mooren, Max van Haren, Max van Meer, and Tom Oomen
IEEJ Journal of Industry Applications, 11(3): 396-407, 2022

77. Noninvasive breathing effort estimation of mechanically ventilated patients using sparse optimization [pdf|link]

Joey Reinders, Bram Hunnekens, Nathan van de Wouw, and Tom Oomen
IEEE Open Journal of Control Systems, 1:57-68, 2022

76. Motion control, mechatronics design, and Moore’s law [pdf|link]

Maarten Steinbuch, Tom Oomen, and Hans Vermeulen
IEEJ Journal of Industry Applications, 11(2):245-255, 2022

75. Iterative learning control for intermittently sampled data: Monotonic convergence, design, and applications [pdf|link]

Nard Strijbosch and Tom Oomen
Automatica 139:110171, 2022

74. Hysteresis feedforward compensation: A direct tuning approach using hybrid-MEM-elements [pdf|link]

Nard Strijbosch, Koen Tiels, and Tom Oomen
IEEE Control Systems Letters (L-CSS), 6: 1070-1075, 2022

73. Model-free learning for massive MIMO Systems: Stochastic approximation adjoint iterative learning control [pdf|link]

Leontine Aarnoudse and Tom Oomen
IEEE Control Systems Letters (L-CSS), 5(6):1946-1951, 2021

72. Thermoelectric modules in mechatronic systems: Temperature-dependent modeling and control [pdf|link]

Enzo Evers, Rens Slenders, Rob van Gils, Bram de Jager, and Tom Oomen
IFAC Mechatronics, 79:102647, 2021

71. Introduction to the virtual special issue from the IFAC Symposium on Mechatronic Systems 2019 [link]

Wolfgang Kemmetmüller, Andreas Kugi, Tom Oomen, Georg Schitter, and Tsu-Chin Tsao
IFAC Mechatronics, 80: 102672, 2021

70. Adaptive control for mechanical ventilation for improved pressure support [pdf|link]

Joey Reinders, Bram Hunnekens, Frank Heck, Tom Oomen, and Nathan van de Wouw
IEEE Transactions on Control Systems Technology, 29(1):180-193, 2021

69. Accurate pressure tracking to support mechanically ventilated patients using an estimated nonlinear hose model and delay compensation [pdf|link]

Joey Reinders, Bram Hunnekens, Frank Heck, Tom Oomen, and Nathan van de Wouw
Control Engineering Practice, 106:104660, 2021

68. Multivariable nonparametric learning: A robust iterative inversion-based control approach [link]

Robin de Rozario and Tom Oomen
International Journal of Robust and Nonlinear Control, 31:551-564, 2021

67. Frequency response function identification of periodically scheduled linear parameter-varying systems [pdf|link]

Robin de Rozario and Tom Oomen
Mechanical Systems and Signal Processing, 148: 107156, 2021

66. Iterative learning control with discrete-time nonlinear non-minimum phase models via stable inversion [link]

Isaac Spiegel, Nard Strijbosch, Tom Oomen, and Kira Barton
International Journal of Robust and Nonlinear Control, 31(16):7985-8006, 2021

65. High Precision Sample Positioning in Electron Microscopes - Motion Feedforward Tuning for Hysteretic Piezo Actuators [pdf]

Nard Strijbosch, Edwin Verschueren, Koen Tiels, and Tom Oomen
Mikroniek, 4:26-31, 2021

64. Data-dependent orthogonal polynomials on generalized circles: A unified approach applied to delta-domain identification [pdf|link]

Robbert Voorhoeve and Tom Oomen
Automatica, 131, 109709, 2021

63. Identifying position-dependent mechanical systems: A modal approach with applications to wafer stage control [arXiv|pdf|link]

Robbert Voorhoeve, Robin de Rozario, Wouter Aangenent, and Tom Oomen
IEEE Transactions on Control Systems Technology, 29(1):194-206, 2021

62. Sequential multi-period repetitive control design with application to industrial wide-format printing [pdf|link]

Lennart Blanken, Patrick Bevers, Sjirk Koekebakker, and Tom Oomen
IEEE/ASME Transactions on Mechatronics, 25(2): 1083-4435, 2020

61. Multivariable repetitive control: Decentralized designs with application to continuous media flow printing [pdf|link]

Lennart Blanken, Sjirk Koekebakker, and Tom Oomen
IEEE/ASME Transactions on Mechatronics, 25(1):294-304, 2020

60. Data-driven feedforward tuning using non-causal rational basis functions: With application to an industrial flatbed printer [pdf|link]

Lennart Blanken, Sjirk Koekebakker, and Tom Oomen
IFAC Mechatronics, 71: 102424, 2020

59. Kernel-based identification of non-causal systems with application to inverse model control [pdf|link]

Lennart Blanken and Tom Oomen
Automatica, 114:108830, 2020

58. Multivariable iterative learning control design procedures: From decentralized to centralized, illustrated on an industrial printer [arXiv|link|pdf|Matlab files link|Matlab files zip]

Lennart Blanken and Tom Oomen
IEEE Transactions on Control Systems Technology, 28(4):1534-1541, 2020

57. Iterative identification and control using non-normalized coprime factors with application in wafer stage motion control [link]

Frank Boeren, Alexander Lanzon, and Tom Oomen
IEEE Transactions on Control Systems Technology, 28(2): 413-424, 2020

56. Frequency response function identification for multivariable motion control: Optimal experiment design with element-wise constraints [pdf|link]

Nic Dirkx, Jeroen van de Wijdeven, and Tom Oomen
IFAC Mechatronics, 71: 102440, 2020

55. Fast and accurate identification of thermal dynamics for precision motion control: Exploiting transient data and additional disturbance inputs [pdf|link]

Enzo Evers, Niels van Tuijl, Ronald Lamers, Bram de Jager, and Tom Oomen
IFAC Mechatronics, 70: 102401, 2020

54. Layer-to-layer predictive control of ink-jet 3D printing [link]

Uduak Inyang-Udoh, Yijie Guo, Joost Peters, Tom Oomen, and Sandipan Mishra
IEEE/ASME Transactions on Mechatronics, 25(4): 1783-1793, 2020

53. Improving intersample behavior in discrete-time system inversion: With application to LTI and LPTV systems [pdf|link]

Jurgen van Zundert, Wataru Ohnishi, Hiroshi Fujimoto, and Tom Oomen
IEEE/ASME Transactions on Mechatronics, 25(1):55-65, 2020

52. Beyond performance/cost tradeoffs in motion control: A multirate feedforward design with application to a dual-stage wafer system [pdf|link]

Jurgen van Zundert, Tom Oomen, Jan Verhaegh, Wouter Aangenent, Duarte Antunes, and W. Heemels
IEEE Transactions on Control Systems Technology, 28(2):448-461, 2020

51. Thermally induced deformations in electron microscopy: Challenges and opportunities for system identification [pdf]

Enzo Evers, Ronald Lamers, and Tom Oomen
Mikroniek, 2:12-18, 2019

50. Beyond decentralized wafer/reticle stage control design: A double-Youla approach For enhancing synchronized motion [pdf|link]

Enzo Evers, Marc van de Wal, and Tom Oomen
Control Engineering Practice, 83:21-32, 2019

49. Finite-time learning control using frequency response data with application to a nanopositioning stage [pdf|link]

Robin de Rozario, Andrew Fleming, and Tom Oomen
IEEE/ASME Transactions on Mechatronics, 24(5): 2085-2096, 2019

48. Data-driven iterative inversion-based control: Achieving robustness through nonlinear learning [pdf|link]

Robin de Rozario and Tom Oomen
Automatica, 107, 342-352, 2019

47. Mitigation of torsional vibrations in drilling systems: a robust control approach [link]

Thijs Vromen, Cam-Hing Dai, Nathan van de Wouw, Tom Oomen, Patricia Astrid, Apostolos Doris, and Henk Nijmeijer
IEEE Transactions on Control Systems Technology, 27(1):249-265, 2019

46. Exact and causal inversion of nonminimum-phase systems: A squaring-down approach for overactuated systems [pdf|link]

Jurgen van Zundert, Fons Luijten, and Tom Oomen
IEEE/ASME Transactions on Mechatronics, 24(6):2953-2963, 2019

45. Beyond equidistant sampling for performance and cost: A loop-shaping approach applied to a motion system [link]

Jurgen van Zundert and Tom Oomen
International Journal of Robust and Nonlinear Control, 29(2):408-432, 2019

44. Stable inversion of LPTV systems with application in position-dependent and non-equidistantly sampled systems [pdf|link]

Jurgen van Zundert and Tom Oomen
International Journal of Control, 92(5):1022-1032, 2019

43. Experimental estimation of transmissibility matrices for industrial multi-axis vibration isolation systems [pdf|link]

Michiel Beijen, Robbert Voorhoeve, Marcel Heertjes, and Tom Oomen
Mechanical Systems and Signal Processing, 107:469-483, 2018

42. Optimal estimation of rational feedforward controllers: An instrumental variable approach and noncausal implementation on a wafer stage [pdf|link]

Frank Boeren, Lennart Blanken, Dennis Bruijnen, and Tom Oomen
Asian Journal of Control, Special issue on Theoretical and Practical Challenges in Learning Control, 20(1): 1-18, 2018

41. Data-driven multivariable ILC: Enhanced performance by eliminating L and Q filters [pdf|link]

Joost Bolder, Stephan Kleinendorst, and Tom Oomen
International Journal of Robust and Nonlinear Control, Special issue on Data-Driven Robust Control, 28(12):3728-3751, 2018

40. Control-oriented models for ink-jet 3D printing [pdf|link]

Yijie Guo, Joost Peters, Tom Oomen, and Sandipan Mishra
IFAC Mechatronics, 56:211-219, 2018

39. Advanced motion control for precision mechatronics: Control, identification, and learning of complex systems [pdf|link]

Tom Oomen
IEEJ Journal of Industry Applications, 7(2), 1-14, 2018

38. Learning in machines [pdf]

Tom Oomen
Mikroniek, 6:5-11, 2018

37. Frequency-domain optimization of fixed-structure controllers [pdf|link]

E. van Solingen, J. van Wingerden, and T. Oomen
International Journal of Robust and Nonlinear Control, Special issue on Data-Driven Robust Control, 28(12):3784-3805, 2018

36. Non-parametric identification of multivariable systems: a local rational modeling approach with application to a vibration isolation benchmark [pdf|link|data sets]

Robbert Voorhoeve, Annemiek van der Maas, and Tom Oomen
Mechanical Systems and Signal Processing, 105: 129-152, 2018

35. On inversion-based approaches for feedforward and ILC [pdf|link]

Jurgen van Zundert and Tom Oomen
IFAC Mechatronics, 50: 282-291, 2018

34. Iterative learning control of iteration varying systems via robust update laws with experimental implementation [pdf|link]

Berk Altın, Jeroen Willems, Tom Oomen, and Kira Barton
Control Engineering Practice, 62: 36-45, 2017

33. Batch-to-batch rational feedforward control: From iterative learning to identification approaches, with application to a wafer stage [pdf|link]

Lennart Blanken, Frank Boeren, Dennis Bruijnen, and Tom Oomen
IEEE/ASME Transactions on Mechatronics, 22(2): 826-837, 2017

32. Enhancing feedforward controller tuning via instrumental variables: With application to nanopositioning [pdf|link]

Frank Boeren, Dennis Bruijnen, and Tom Oomen
International Journal of Control, 90(4): 746-764, Special issue on Identification and Control of Nonlinear Electro-Mechanical Systems, 2017

31. Enhancing flatbed printer accuracy and throughput: Optimal rational feedforward controller tuning via iterative learning control [pdf|link]

Joost Bolder, Jurgen van Zundert, Sjirk Koekebakker, and Tom Oomen
IEEE Transactions on Industrial Electronics, 64(5): 4207-4216, Special issue on Data Driven Control and Learning Systems, 2017

30. A local rational model approach for H∞ norm estimation: With application to an active vibration isolation system [pdf|link]

Egon Geerardyn and Tom Oomen
Control Engineering Practice, 68: 63-70, 2017

29. Accurate FRF identification of LPV systems: nD-LPM with application to a medical X-ray system [pdf|link]

Rick van der Maas, Annemiek van der Maas, Robbert Voorhoeve, and Tom Oomen
IEEE Transactions on Control Systems Technology, 25(4): 1724-1735, 2017

28. Sparse iterative learning control with application to a wafer stage: Achieving performance, resource efficiency, and task flexibility [arXiv|pdf|link]

Tom Oomen and Cristian R. Rojas
IFAC Mechatronics, 47: 134-147, 2017

27. Tensor methods for MIMO decoupling and control design using frequency response functions [link]

Julian Stoev, Julien Ertveldt, Tom Oomen, and Johan Schoukens
IFAC Mechatronics, 45: 71-81, 2017

26. Frequency-domain ILC approach for repeating and varying tasks: With application to semiconductor bonding equipment [pdf|link]

Frank Boeren, Abhishek Bareja, Tom Kok, and Tom Oomen
IEEE/ASME Transactions on Mechatronics, 21(6): 2716-2727, 2016

25. Inferential iterative learning control: A 2D-system approach [pdf|link]

Joost Bolder and Tom Oomen
Automatica, 71, 247-253, 2016

24. Constrained iterative feedback tuning for robust control of a wafer stage system [pdf|link]

Marcel Heertjes, Bart van der Velden, Tom Oomen
IEEE Transactions on Control Systems Technology, 24(1), 56-66, 2016

23. Bi-orthonormal polynomial basis function framework with applications in system identification [pdf|link]

Robbert van Herpen, Okko Bosgra, and Tom Oomen
IEEE Transactions on Automatic Control, 61(11):3285-3300, 2016

22. Resource-efficient ILC for LTI/LTV systems through LQ tracking and stable inversion: Enabling large feedforward tasks on a position-dependent printer [pdf|link]

Jurgen van Zundert, Joost Bolder, Sjirk Koekebakker, and Tom Oomen
IFAC Mechatronics, 38, 76-90, 2016

21. Optimality and flexibility in iterative learning control for varying tasks [pdf|link]

Jurgen van Zundert, Joost Bolder, and Tom Oomen
Automatica, 67, 295-302, 2016

20. Inferential motion control: Identification and robust control framework for positioning an unmeasurable point of interest [pdf|extended report|link]

Tom Oomen, Erik Grassens, Ferdinand Hendriks
IEEE Transactions on Control Systems Technology, 23(4), 1602-1610, 2015

19. Non-diagonal H-infinity weighting function design: Exploiting spatio-temporal deformations in precision motion control [pdf|link]

Frank Boeren, Robbert van Herpen, Tom Oomen, Marc van de Wal, and Maarten Steinbuch
Control Engineering Practice, 35, 35-42, 2015

18. Iterative motion feedforward tuning: A data-driven approach based on instrumental variable identification [pdf|link]

Frank Boeren, Tom Oomen, Maarten Steinbuch
Control Engineering Practice, 37, 11-19, 2015

17. Rational basis functions in iterative learning control - With experimental verification on a motion system [pdf|link]

Joost Bolder and Tom Oomen
IEEE Transactions on Control Systems Technology, 23(2), 722-729, 2015

16. Joint input shaping and feedforward for point-to-point motion: Automated tuning for an industrial nanopositioning system [pdf|link|errata|matlab]

Frank Boeren, Dennis Bruijnen, Niels van Dijk, and Tom Oomen
IFAC Mechatronics, Invited paper, 24(6): 572-581, 2014

15. Using iterative learning control with basis functions to compensate medium deformation in a wide-format inkjet printer [pdf|link]

Joost Bolder, Tom Oomen, Sjirk Koekebakker, and Maarten Steinbuch
IFAC Mechatronics, Invited paper, 24(8): 944-953, 2014

14. Guest editorial introduction to the special issue on control of high-precision motion systems [pdf|link]

Marcel Heertjes, Tom Oomen, and David Trumper
IFAC Mechatronics, 24(6): 547-548, 2014

13. Exploiting additional actuators and sensors for nano-positioning robust motion control [pdf|link]

Robbert van Herpen, Tom Oomen, Edward Kikken, Marc van de Wal, Wouter Aangenent, and Maarten Steinbuch
IFAC Mechatronics, Invited paper, 24(6): 619-631, 2014

12. Optimally conditioned instrumental variable approach for frequency-domain system identification [pdf|link]

Robbert van Herpen, Tom Oomen, and Maarten Steinbuch
Automatica, 50(9), 2281-2293, 2014

11. Subspace predictive repetitive control to mitigate periodic loads on large scale wind turbines [pdf|link]

S.T. Navalkar, J.W. van Wingerden, E. van Solingen, T. Oomen, E. Pasterkamp, G.A.M. van Kuik
IFAC Mechatronics, Invited paper, 24(8):916-925, 2014

10. Controlling aliased dynamics in motion systems? An identification for sampled-data control approach [pdf|link]

Tom Oomen
International Journal of Control, Invited paper, 87(7): 1406-1422, 2014

9. Connecting system identification and robust control for next-generation motion control of a wafer stage [pdf|link]

Tom Oomen, Robbert van Herpen, Sander Quist, Marc van de Wal, Okko Bosgra, and Maarten Steinbuch
IEEE Transactions on Control Systems Technology, 22(1): 102-118, 2014. Awarded with the 2015 IEEE Transactions on Control Systems Technology Outstanding Paper Award

8. Iterative data-driven H-infinity-Norm Estimation of Multivariable Systems with Application to Robust Active Vibration Isolation [pdf|link]

Tom Oomen, Rick van der Maas, Cristian R. Rojas, and Håkan Hjalmarsson
IEEE Transactions on Control Systems Technology, 22(6): 2247-2260, 2014

7. High performance continuously variable transmission control through robust-control-relevant model validation [pdf|link]

Tom Oomen and Stan van der Meulen
ASME Journal of Dynamic Systems, Measurement and Control, 135(6), 061018, 2013

6. System identification for achieving robust performance [pdf|link]

Tom Oomen and Okko Bosgra
Automatica, 48(9):1975-1987, 2012

5. Uniquely connecting frequency domain representations of given order polynomial Wiener-Hammerstein systems [pdf|link]

David Rijlaarsdam, Tom Oomen, Pieter Nuij, Johan Schoukens, Maarten Steinbuch
Automatica, 48(9):2381-2384, 2012

4. Analyzing iterations in identification with application to nonparametric H-infinity estimation [pdf|link]

Cristian R. Rojas, Tom Oomen, Håkan Hjalmarsson, and Bo Wahlberg
Automatica, 48(11), 2776-2790, 2012

3. System identification and low-order optimal control of intersample behavior in ILC [pdf|link]

Tom Oomen, Jeroen van de Wijdeven, and Okko Bosgra
IEEE Transactions on Automatic Control 56(11):2734-2739, 2011

2. Suppressing intersample behavior in iterative learning control [pdf|link]

Tom Oomen, Jeroen van de Wijdeven, and Okko Bosgra
Automatica, 45(4):981-988, 2009

1. Design framework for high-performance optimal sampled-data control with application to a wafer stage [pdf|link]

Tom Oomen, Marc van de Wal, and Okko Bosgra
International Journal of Control, 80(6):919-934, 2007

Books and Book Chapters

6. Learning in control [pdf|pure]

Tom Oomen
Inaugural lecture, March 14, 2024

5. Model-based control for high-tech mechatronic systems [pdf]

Tom Oomen and Maarten Steinbuch
In: Marina Indri and Roberto Oboe, Editors: Mechatronics and Robotics: New Trends and Challenges, CRC, 2020

4. Control for precision mechatronics [pdf|link]

Tom Oomen
In: John Baillieul and Tariq Samad: Encyclopedia of Systems and Control, 2nd edition, 2019

3. Multivariable iterative learning control: Analysis and designs for engineering applications [pdf]

Lennart Blanken, Jurgen van Zundert, Robin de Rozario, Nard Strijbosch, and Tom Oomen
In: Simone Formentin and Carlo Novara: Application-Oriented System Identification: Prediction, Filtering and Control, 2019

2. Identification for robust control of complex systems: Algorithm and motion application [pdf|link]

Tom Oomen and Maarten Steinbuch
In: Marco Lovera, Editor: Control-oriented modelling and identification: theory and applications, Chapter 5, 101-124, IET, 2015

1. Recovering data from cracked optical discs using Hankel iterative learning control [pdf|link]

Maarten Steinbuch, Jeroen van de Wijdeven, Tom Oomen, Koos van Berkel, and George Leenknegt
In: P.M.J. Van den Hof, C. Scherer, P.S.C. Heuberger, Editors: Model-Based Control: Bridging Rigorous Theory and Advanced Technology, 147-166, Springer, 2009

PhD Theses

19. Fault diagnosis for uncertain systems in closed loop: Applied to semiconductor equipment [pdf|reduced-size pdf]]

Koen Classens
Ph.D. Thesis, Eindhoven University of Technology, Eindhoven, The Netherlands, 2024

18. Identification and control of overactuated mechatronic systems [pdf]

Paul Tacx
Ph.D. Thesis, Eindhoven University of Technology, Eindhoven, The Netherlands, 2024

17. Gaussian processes for learning in motion control: Applied to semiconductor back-end machines [pdf]

Maurice Poot
Ph.D. Thesis, Eindhoven University of Technology, Eindhoven, The Netherlands, 2024

16. Data-driven randomized and nonlinear learning for control [pdf]

Leontine Aarnoudse
Ph.D. Thesis, Eindhoven University of Technology, Eindhoven, The Netherlands, 2024

15. Wafer stage motion control: From experiment design to robust performance [pdf]

Nic Dirkx
Ph.D. Thesis, Eindhoven University of Technology, Eindhoven, The Netherlands, 2023

14. Data-driven linear parameter-varying control: A frequency-domain approach [pdf]

Tom Bloemers
Ph.D. Thesis, Eindhoven University of Technology, Eindhoven, The Netherlands, 2023

13. Intelligent mechatronics through learning: From Gaussian processes to repetitive control and adaptive feedforward [pdf]

Noud Mooren
Ph.D. Thesis, Eindhoven University of Technology, Eindhoven, The Netherlands, 2022

12. Learning and feedforward control for unconventional sampling and actuation [pdf]

Nard Strijbosch
Ph.D. Thesis, Eindhoven University of Technology, Eindhoven, The Netherlands, 2022

11. Smart mechanical ventilators: Learning for monitoring and control [pdf]

Joey Reinders
Ph.D. Thesis, Eindhoven University of Technology, Eindhoven, The Netherlands, 2022

10. Identification and active thermomechanical control in precision mechatronics [pdf]

Enzo Evers
Ph.D. Thesis, Eindhoven University of Technology, Eindhoven, The Netherlands, 2021

9. Data-driven learning control for complex multivariable and linear parameter-varying systems [pdf]

Robin de Rozario
Ph.D. Thesis, Eindhoven University of Technology, Eindhoven, The Netherlands, 2020

8. Learning and repetitive control for complex systems - With application to large-format printers [pdf]

Lennart Blanken
Ph.D. Thesis, Eindhoven University of Technology, Eindhoven, The Netherlands, 2019

7. Resource-aware motion control: Feedforward, learning, and feedback [pdf]

Jurgen van Zundert
Ph.D. Thesis, Eindhoven University of Technology, Eindhoven, The Netherlands, 2018

6. Identification for advanced motion control - Numerically reliable algorithms for complex systems [pdf|propositions]

Robbert Voorhoeve
Ph.D. Thesis, Eindhoven University of Technology, Eindhoven, The Netherlands, 2018

5. System identification for feedforward and feedback control: With application to semiconductor manufacturing [pdf]

Frank Boeren
Ph.D. Thesis, Eindhoven University of Technology, Eindhoven, The Netherlands, 2016

4. Development of user-friendly system identification techniques [pdf]

Egon Geerardyn
Ph.D. Thesis, Vrije Universiteit Brussel, Brussels, Belgium, 2016

3. Flexibility and robustness in iterative learning control: With applications to industrial printers [pdf]

Joost Bolder
Ph.D. Thesis, Eindhoven University of Technology, Eindhoven, The Netherlands, 2015

2. Identification for control of complex motion systems: Optimal numerical conditioning using data-dependent polynomial bases [pdf]

Robbert van Herpen
Ph.D. Thesis, Eindhoven University of Technology, Eindhoven, The Netherlands, 2014

1. System identification for robust and inferential control with applications to ILC and precision motion systems [pdf]

Tom Oomen
Ph.D. Thesis, Eindhoven University of Technology, ISBN: 978-90-386-2189-0, Eindhoven, The Netherlands, 2010

National and Other Publications

14. First JSPS-NWO Seminar Research Network on Learning in Machines - New Perspectives for Future Nanoscale Production [pdf]

Leontine Aarnoudse, Max van Haren, Masahiro Mae, Wataru Ohnishi, Tom Oomen, and Kentaro Tsuromoto, Organisers, 2023

13. In regeltechniek nog steeds verrassend veel vooruitgang [pdf|link]

Mechatronica & Machinebouw 7, 10-13, 2021

12. Bits & Chips podcast part 1

Bits & Chips 2021

11. Bits & Chips podcast part 2

Bits & Chips 2021

10. Binnen paar minuten optimale motioncontrolprestaties halen [pdf|English translation]

Mechatronica & Machinebouw 8, 22-26, 2019

9. Lerend regelen verbetert de prestaties van motionsystemen met een factor tien [pdf|English translation]

Mechatronica & Machinebouw 1, 34-35, 2018

8. Goed geregeld [link|pdf]

Cursor Technische Universiteit Eindhoven, Cursor 1, Year 59, 19-20, September 8, 2016

7. TU/e-docent Tom Oomen genomineerd voor wetenschapsverkiezing Lage Landen [link to online article|pdf of related printed copy]

Eindhovens Dagblad, August 23, 2016

6. Opnieuw TU/e-er in de race als Wetenschapstalent

Interview on studio040, August 23, 2016

5. 2015 IEEE Transactions on Control Systems Technology Outstanding Paper Award

IEEE Transactions on Control Systems Technology, 24(2): 383, 2016

4. Intelligente regeltechniek voor nieuwe generatie mechatronica [pdf]

Joost Bolder, Frank Boeren, and Tom Oomen
Aandrijftechniek, 10:22-24 (In Dutch), 2014

3. Cursor Technische Universiteit Eindhoven, October 7, 2014

2. Cursor Technische Universiteit Eindhoven, July 31, 2013

1. Bits & Chips, Januari 17, 2006

Refereed Conference Publications

216. Data-enabled predictive repetitive control [pdf|arXiv extended report]

Rogier Dinkla, Tom Oomen, Sebastiaan P. Mulders, and Jan-Willem van Wingerden
In Proceedings of the 63nd IEEE Conference on Decision and Control, Milan, Italy, 2024

215. Statistical analysis of block coordinate descent algorithms for linear continuous-time system identification [arXiv|link]

Rodrigo A. González, Koen Classens, Cristian R. Rojas, James S. Welsh, and Tom Oomen
In Proceedings of the 63nd IEEE Conference on Decision and Control, Milan, Italy, 2024

214. Optimal fault detection for closed-loop linear uncertain systems [pdf]

Koen Classens, Tjeerd Ickenroth, W.P.M.H. (Maurice) Heemels, and Tom Oomen
In Proceedings of the 63nd IEEE Conference on Decision and Control, Milan, Italy, 2024

213. Guaranteeing stability in structured input-output models: With application to system identification [pure|link]

Johan Kon, Roland Tóth, Jeroen van de Wijdeven, Marcel Heertjes, and Tom Oomen
In Proceedings of the 63nd IEEE Conference on Decision and Control, Milan, Italy, 2024

212. Iterative learning control — Algorithms, applications and future research directions

Eric Rogers, Bing Chu, Kevin Moore, Tom Oomen, and Ying Tan [pure|pdf]
In Proceedings of the 63nd IEEE Conference on Decision and Control, Milan, Italy, 2024

211. Automated model-free commutation for coarse pointing actuators in free-space optical communication [pdf|pure]

Max van Meer, Kjell van Schie, Gert Witvoet, Tom Oomen
In 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Boston, Massachusetts, 2024

210. Integrated rational feedforward in frequency-domain iterative learning control for highly task-flexible motion control [pdf]

Kentaro Tsurumoto, Wataru Ohnishi, Takafumi Koseki, Max van Haren, Tom Oomen
In 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Boston, Massachusetts, 2024

210. Efficient tuning for motion control in diverse systems: A Bayesian framework [pdf]

Edoardo Catenaro, Leontine Aarnoudse, Simone Formentin, and Tom Oomen
In 20th IFAC Symposium on System Identification, Boston, Massachusetts, 2024

209. Iterative feedback tuning with automated reference model selection [pdf]

Tjeerd Ickenroth, Valentina Breschi, Tom Oomen, and Simone Formentin
In 20th IFAC Symposium on System Identification, Boston, Massachusetts, 2024

208. Iterative interaction decoupling for multivariate time-varying systems applied to a Gravitational Wave detector [pdf]

Mathyn van Dael, Gert Witvoet, Bas Swinkels, Diego Bersanetti, Manuel Pinto, Julia Casanueva, Maddalena Mantovani, Piernicola Spinicelli, Camilla de Rossi, and Tom Oomen
In Proceedings of the European Control Conference ECC24, 2447-2452, Stockholm, Sweden, 2024

207. Scaled graphs for reset control systems [pdf]

Sebastiaan van den Eijnden, Thomas L. Chaffey, Tom Oomen, and Maurice Heemels
In Proceedings of the European Control Conference ECC24, 1466-1471, Stockholm, Sweden, 2024

206. A frequency-domain approach for enhanced performance and task flexibility in finite-time ILC [pdf|arXiv]

Max van Haren, Kentaro Tsurumoto, Masahiro Mae, Lennart Blanken, Wataru Ohnishi, and Tom Oomen
In Proceedings of the European Control Conference ECC24, 1189-1194, Stockholm, Sweden, 2024

205. Unconstrained parameterization of stable LPV input-output models: with application to system identification [pdf|pure|arXiv]

Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, and Tom Oomen
In Proceedings of the European Control Conference ECC24, 2136-2141, Stockholm, Sweden, 2024

204. Robust commutation design: Applied to switched reluctance motors [pdf|pure|arXiv]

Max van Meer, Gert Witvoet, and Tom Oomen
In Proceedings of the European Control Conference ECC24, 2441-2446, Stockholm, Sweden, 2024

203. Combined time-domain optimization design for task-flexible and high performance ILC [pdf|link]

Kentaro Tsurumoto, Wataru Ohnishi, Takafumi Koseki, Max van Haren, and Tom Oomen
In Proceedings of the European Control Conference ECC24, 1183-1188, Stockholm, Sweden, 2024

202. Efficient MIMO iterative feedback tuning via randomization [pdf|pure|link]

Leontine Aarnoudse and Tom Oomen
In Proceedings of the 62nd IEEE Conference on Decision and Control, 4512-4517, Marina Bay Sands, Singapore, 2023

201. Nonlinear repetitive control for mitigating noise amplification [pdf|pure]

Leontine Aarnoudse, Alexey Pavlov, Johan Kon, and Tom Oomen
In Proceedings of the 62nd IEEE Conference on Decision and Control, 2891-2896, Marina Bay Sands, Singapore, 2023

200. Comparing structured ambiguity sets for stochastic optimization: Application to uncertainty quantification [pdf]

Lotfi Mustapha Chaouach, Tom Oomen, and Dimitris Boskos
In Proceedings of the 62nd IEEE Conference on Decision and Control, 8268-8273, Marina Bay Sands, Singapore, 2023

199. Beyond Nyquist in frequency response function identification: Applied to slow-sampled systems [pure|pdf]

Max van Haren, Leonid Mirkin, Lennart Blanken, and Tom Oomen
In Proceedings of the 62nd IEEE Conference on Decision and Control, 3494-3499, Marina Bay Sands, Singapore, 2023

198. Direct learning for parameter-varying feedforward control: A neural-network approach [pdf|pure]

Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, and Tom Oomen
In Proceedings of the 62nd IEEE Conference on Decision and Control, 3720-3725, Marina Bay Sands, Singapore, 2023

197. Nonlinear Bayesian Identification for Motor Commutation: Applied to Switched Reluctance Motors [pdf|pure]

Max van Meer, Rodrigo A. González, Gert Witvoet, and Tom Oomen
In Proceedings of the 62nd IEEE Conference on Decision and Control, 5488-5493, Marina Bay Sands, Singapore, 2023

196. Rational basis functions in iterative learning control for multivariable systems [pure|pdf]

Maurice Poot, Jim Portegies, Dragan Kostić, and Tom Oomen
In Proceedings of the 62nd IEEE Conference on Decision and Control, 4644-4649, Marina Bay Sands, Singapore, 2023

195. Data-driven LIDAR feedforward predictive wind turbine control [pdf]

Rogier Dinkla, Tom Oomen, Jan-Willem van Wingerden, and Sebastiaan Mulders
In Proceedings of the 7th IEEE Conference on Control Technology and Applications, Bridgetown, Barbados, 559-565, 2023

194. Iterative robust experiment design for MIMO system identification via the S-lemma [pdf]

Nic Dirkx, Koen Tiels, and Tom Oomen
In Proceedings of the 7th IEEE Conference on Control Technology and Applications, Bridgetown, Barbados, 998-1003, 2023

193. Learning control applied to a digital-to-analogue converter [pdf]

Noa van Rijt, Ahmad M.A. Faza, Tom Oomen, and Arnfinn Eielsen
In Proceedings of the 7th IEEE Conference on Control Technology and Applications, Bridgetown, Barbados, 91-96, 2023

192. Novel disturbance observer relevant parametric system identification based on robust stability criterion [pdf]

Hanul Jung, Paul Tacx, Tom Oomen, Sehoon Oh
In Proceedings of the 7th IEEE Conference on Control Technology and Applications, Bridgetown, Barbados, 1010-1015, 2023

191. Nonlinear iterative learning control: A frequency-domain approach for fast convergence and high accuracy [pure|pdf]

Leontine Aarnoudse, Alexey Pavlov, Tom Oomen
In Proceedings of the IFAC 22st Triennial World Congress, 2039-2044, Yokohama, Japan, 2023

190. Direct shaping of minimum and maximum singular values: An H-/Hinf synthesis approach for fault detection filters [pure|arXiv|pdf]

Koen Classens, Maurice Heemels, and Tom Oomen
In Proceedings of the IFAC 22st Triennial World Congress, 12141-12146, Yokohama, Japan, 2023

189. Integrating H2 synthesis and dynamic error budgetting for improved gravitational wave detection [pure|pdf]

Mathyn van Dael, Julia Casanueva Diaz, Gert Witvoet, Bas Swinkels, Manuel Pinto, Diego Bersanetti, Maddalena Mantovani, Camilla de Rossi, Piernicola Spinicelli, and Tom Oomen
In Proceedings of the IFAC 22st Triennial World Congress, 3767-3772, Yokohama, Japan, 2023

188. Closed-loop aspects of data-enabled predictive control [pure|pdf]

Rogier Dinkla, Sebastiaan P. Mulders, Jan-Willem van Wingerden, and Tom Oomen
In Proceedings of the IFAC 22st Triennial World Congress, 1467-1472, Yokohama, Japan, 2023

187. A time-frequency local polynomial approach to FRM estimation from incomplete data [pure|pdf]

Nic Dirkx, Koen Tiels, and Tom Oomen
In Proceedings of the IFAC 22st Triennial World Congress, 4335-4340, Yokohama, Japan, 2023

186. Blind non-parametric estimation of SISO continuous-time systems [pure|pdf]

Augustus Elton, Rodrigo A. González, James Welsh, Cristian R. Rojas, and Tom Oomen
In Proceedings of the IFAC 22st Triennial World Congress, 4624-4629, Yokohama, Japan, 2023

185. Identifying Lebesgue-sampled continuous-time impulse response models: A kernel-based approach [pure|arXiv|pdf]

Rodrigo A. González, Koen Tiels, and Tom Oomen In Proceedings of the IFAC 22st Triennial World Congress, 4600-4605, Yokohama, Japan, 2023

184. A kernel-based identification approach to LPV feedforward: With application to motion systems [pure|arXiv|pdf]

Max van Haren, Lennart Blanken, and Tom Oomen In Proceedings of the IFAC 22st Triennial World Congress, 6600-6605, Yokohama, Japan, 2023

183. An estimation perspective on breathing effort disturbances in mechanical ventilation [pdf]

Lars van de Kamp, Bram Hunnekens, Nathan van de Wouw, and Tom Oomen
In Proceedings of the IFAC 22st Triennial World Congress, 8885-8890, Yokohama, Japan, 2023

182. Online feedforward parameter learning with robustness to set-point variations [pdf]

Thijs van Keulen, Tom Oomen, and Maurice Heemels
In Proceedings of the IFAC 22st Triennial World Congress, 2069-2075, Yokohama, Japan, 2023

181. Learning for precision motion of an interventional X-ray system: Add-on physics-guided neural network feedforward control [pure|arXiv|pdf]

Johan Kon, Naomi de Vos, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, and Tom Oomen
In Proceedings of the IFAC 22st Triennial World Congress, 8126-8131, Yokohama, Japan, 2023

180. Cascaded calibration of mechatronic systems via Bayesian inference [pure|arXiv|pdf]

Max van Meer, Emre Deniz, Gert Witvoet, and Tom Oomen
In Proceedings of the IFAC 22st Triennial World Congress, 3761-3766, Yokohama, Japan, 2023

179. Feedforward control in the presence of input nonlinearities: With application to a wirebonder [pure|pdf]

Maurice Poot, Jilles van Hulst, Kai Wa Yan, Dragan Kostić, Jim Portegies, and Tom Oomen
In Proceedings of the IFAC 22st Triennial World Congress, 2045-2050, Yokohama, Japan, 2023

178. Spatio-temporal analysis of overactuated motion systems: A mechanical modeling approach

Paul Tacx, Matthijs Teurlings, Roel Habraken, Gert Witvoet, Marcel Heertjes, and Tom Oomen [pure|pdf|link]
In Proceedings of the IFAC 22st Triennial World Congress, 9378-9483, Yokohama, Japan, 2023

177. Closed-loop direct data-driven wind turbine control: Using wind speed preview information

Rogier Dinkla, Tom Oomen, Jan-Willem van Wingerden, and Sebastiaan P. Mulders
In Wind Energy Science Conference 2023 (WESC 2023), Glasgow, UK, 2023

176. Robotic control for vibration reduction of swinging products [pdf|link]

Robbert van der Kruk, Arend Jan van Noorden, Tom Oomen, René van de Molengraft, and Herman Bruyninckx
In IEEE International Conference on Mechatronics (ICM2023), 1-8, Loughborough, UK, 2023

175. Cross-coupled iterative learning control for complex systems: A monotonically convergent and computationally efficient approach [pdf|arXiv|link]

Leontine Aarnoudse, Johan Kon, Koen Classens, Max van Meer, Maurice Poot, Paul Tacx, Nard Strijbosch, and Tom Oomen
In 61th IEEE Conference on Decision and Control, 1485-1490, Cancun, Mexico, 2022

174. Uncertain uncertainty in data-driven stochastic optimization: Towards structured ambiguity sets [pdf|link]

Lotfi Chaouach, Dimitris Boskos, and Tom Oomen
In 61th IEEE Conference on Decision and Control, 4776-4781, Cancun, Mexico, 2022

173. Frequency domain identification of multirate systems: A lifted local polynomial modeling approach [pdf|arXiv|link]

Max van Haren, Lennart Blanken, and Tom Oomen
In 61th IEEE Conference on Decision and Control, 2795-2800, Cancun, Mexico, 2022

172. Unifying model-based and neural network feedforward: Physics-guided neural networks with linear autoregressive dynamics [pdf|arXiv|link]

Johan Kon, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, and Tom Oomen
In 61th IEEE Conference on Decision and Control, Cancun, Mexico, 2022

171. Data-enabled predictive control with instrumental variables: The direct equivalence with subspace predictive control [pdf|arXiv]

Jan-Willem van Wingerden, Sebastiaan Mulders, Rogier Dinkla, Tom Oomen, and Michel Verhaegen
In 61th IEEE Conference on Decision and Control, 2111-2116, Cancun, Mexico, 2022

170. Automated MIMO motion feedforward control: Efficient learning through data-driven gradients via adjoint experiments and stochastic approximation [pdf|arXiv]

Leontine Aarnoudse and Tom Oomen
In 2022 Modeling, Estimation, and Control Conference (MECC 2022), Jersey City, New Jersey, 2022

169. Online detection of shifting resonances: A mechatronic system application [pdf]

Koen Classens, Mike Mostard, Jeroen van de Wijdeven, Maurice Heemels, and Tom Oomen
In 2022 Modeling, Estimation, and Control Conference (MECC 2022), Jersey City, New Jersey, 2022

168. Design for interaction: Factorized Nyquist based control design applied to a Gravitational Wave detector [pdf]

Mathyn van Dael, Gert Witvoet, Bas Swinkels, Manuel Pinto, Julia Casanueva Diaz, Diego Bersanetti, Maddalena Mantovani, Marco Vardaro, and Tom Oomen
In 2022 Modeling, Estimation, and Control Conference (MECC 2022), Jersey City, New Jersey, 2022

167. Frequency response function identification from incomplete data: A wavelet-based approach [pdf]

Nic Dirkx, Koen Tiels, and Tom Oomen
In 2022 Modeling, Estimation, and Control Conference (MECC 2022), Jersey City, New Jersey, 2022

166. Feedforward control in the presence of input nonlinearities: A Learning-based approach [pdf|arXiv]

Jilles van Hulst, Maurice Poot, Dragan Kostić, Kai Wa Yan, Jim Portegies, and Tom Oomen
In 2022 Modeling, Estimation, and Control Conference (MECC 2022), Jersey City, New Jersey, 2022

165. Feedforward with acceleration and snap using sampled-data differentiator for a multi-modal motion system [pdf]

Masahiro Mae, Max van Haren, Wataru Ohnishi, Tom Oomen, and Hiroshi Fujimoto
In 2022 Modeling, Estimation, and Control Conference (MECC 2022), Jersey City, New Jersey, 2022

164. Gaussian process based feedforward control for nonlinear systems with flexible tasks: With application to a printer with friction [pdf]

Max van Meer, Maurice Poot, Jim Portegies, and Tom Oomen
In 2022 Modeling, Estimation, and Control Conference (MECC 2022), Jersey City, New Jersey, 2022

163. Optimal commutation for switched reluctance motors using Gaussian Process regression [pdf|arXiv]

Max van Meer, Gert Witvoet, and Tom Oomen
In 2022 Modeling, Estimation, and Control Conference (MECC 2022), Jersey City, New Jersey, 2022

162. A one-step approach for centralized overactuated motion control of a prototype reticle stage [pdf]

Paul Tacx and Tom Oomen
In 2022 Modeling, Estimation, and Control Conference (MECC 2022), Jersey City, New Jersey, 2022

161. Non-causal state estimation for improved state tracking in iterative learning control [pdf]

Kentaro Tsurumoto, Wataru Ohnishi, Takafumi Koseki, Nard Strijbosch, and Tom Oomen
In 2022 Modeling, Estimation, and Control Conference (MECC 2022), Jersey City, New Jersey, 2022

160. Adaptive control for compensation of non-linear hose characteristics in mechanical ventilation [pdf]

Joey Reinders, Bram Hunnekens, Tom Oomen, and Nathan van de Wouw
In 10th European Nonlinear Oscillations Conference (ENOC 2022), Lyon, France, 2022

159. Joint estimation of additive and parametric faults: A model-based fault diagnosis approach towards predictive maintenance [pdf|link]

Koen Classens, Stan Verbeek, W.P.M.H. Heemels, and Tom Oomen
In 11th IFAC Symposium on Fault Detection, Supervision, and Safety of Technical Processes (SAFEPROCESS 2022), Pafos, Cyprus, 2022

158. Neural network training using closed-loop data: Hazards and an instrumental variable (IVNN) solution [pdf|arXiv]

Johan Kon, Marcel Heertjes, and Tom Oomen
In 14th IFAC Workshop on Adaptive & Learning Control Systems (ALCOS 2022), 183-188, Casablanca, Morocco, 2022

157. Frequency response data-driven LPV controller synthesis for MIMO systems [pdf|link]

Tom Bloemers, Tom Oomen, and Roland Tóth
In 2022 IEEE American Control Conference, 5205-5210, Atlanta, Georgia, 2022

156. A fast smoothing-based algorithm to generate l-infinity-norm constrained signals for multivariable experiment design [pdf|link]

Nic Dirkx, Marcel Bosselaar, and Tom Oomen
In 2022 IEEE American Control Conference, 4796-4801, Atlanta, Georgia, 2022

155. Position-dependent snap feedforward: A Gaussian Process framework [pdf|arXiv|link]

Max van Haren, Maurice Poot, Jim Portegies, and Tom Oomen
In 2022 IEEE American Control Conference, 4778-4783, Atlanta, Georgia, 2022

154. Physics-guided neural networks for feedforward control: An orthogonal projection-based approach [pdf|arXiv|link]

Johan Kon, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, and Tom Oomen
In 2022 IEEE American Control Conference, 4377-4382, Atlanta, Georgia, 2022

153. Bode analysis of uncertain multivariable systems [pdf|link]

Paul Tacx and Tom Oomen
In 2022 IEEE American Control Conference, 5056-5061, Atlanta, Georgia, 2022

152. Improved state estimation by non-causal state observer [pdf]

Kentaro Tsurumoto, Wataru Ohnishi, Takafumi Koseki, Nard Strijbosch, and Tom Oomen
In 8th IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization (SAMCON), 5056-5061, Saitama, Japan, 2022

151. Systematic feedback control design for scattered light noise mitigation in Virgo's MultiSAS [pdf|link]

Mathyn van Dael, Gert Witvoet, Bas Swinkels, and Tom Oomen
In 2022 IEEE 17th International Workshop on Advanced Motion Control (AMC), 300-305, Padova, Italy, 2022

150. Peak amplitude-constrained experiment design for FRF identification [pdf|link]

Nic Dirkx, Marcel Bosselaar, and Tom Oomen
In 2022 IEEE 17th International Workshop on Advanced Motion Control (AMC), 256-261, Padova, Italy, 2022

149. Gaussian process position-dependent feedforward: with application to a wire bonder [pdf|Zenodo|link]

Max van Haren, Maurice Poot, Dragan Kostić, Robin van Es, Jim Portegies, and Tom Oomen
In 2022 IEEE 17th International Workshop on Advanced Motion Control (AMC), 268-273, Padova, Italy, 2022

148. A Gaussian Process approach to multiple internal models in repetitive control [pdf|link]

Noud Mooren, Gert Witvoet, and Tom Oomen
In 2022 IEEE 17th International Workshop on Advanced Motion Control (AMC), 274-279, Padova, Italy, 2022

147. Conjugate gradient MIMO iterative learning control using data-driven stochastic gradients [pdf|arXiv|link]

Leontine Aarnoudse and Tom Oomen
In 60th IEEE Conference on Decision and Control, 3749-3754, Austin, Texas, 2021

146. Intermittent sampling in repetitive control: Exploiting time-varying measurements [pdf|link]

Johan Kon, Nard Strijbosch, Sjirk Koekebakker, and Tom Oomen
In 60th IEEE Conference on Decision and Control, 6566-6571, Austin, Texas, 2021

145. Hysteresis feedforward compensation: A direct tuning approach using hybrid-MEM-elements [pdf|link]

Nard Strijbosch, Koen Tiels, and Tom Oomen
In 60th IEEE Conference on Decision and Control, Austin, Texas, 2021

144. Flipped halfwave: Improved modeling of spontaneous breathing effort [pdf|link]

Joey Reinders, Lars van de Kamp, Bram Hunnekens, Tom Oomen, and Nathan van de Wouw
In 11th IFAC Symposium on Biological and Medical Systems, Ghent, Belgium, 2021

143. Linear repetitive control for a nonlinear mechanical ventilation system using feedback linearization [pdf|link]

Joey Reinders, Bram Hunnekens, Tom Oomen, and Nathan van de Wouw
In 2021 5th IEEE Conference on Control Technology and Applications, San Diego, California, 2021

142. Digital twins in mechatronics: From model-based control to predictive maintenance [pdf|link]

Koen Classens, Maurice Heemels, and Tom Oomen
In 2021 IEEE International Conference on Digital Twins and Parallel Intelligence, 336-339, Beijing, China, 2021

141. An LTV approach to identifying nonlinear systems - with application to an RRR-robot [pdf]

John Lataire, Rik Pintelon, and Tom Oomen
In 19th IFAC Symposium on System Identification, Padova, Italy, 2021

140. Model order selection in robust-control-relevant system identification [pdf]

Paul Tacx, Robin de Rozario, and Tom Oomen
In 19th IFAC Symposium on System Identification, Padova, Italy, 2021

139. Kernel-based learning control for iteration-varying tasks applied to a printer with friction [pdf]

Maurice Poot, Jim Portegies, and Tom Oomen
In IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 1052-1057, Delft, The Netherlands, 2021

138. Model-free multi-variable learning control of a five axis nanopositioning stage [pdf]

Thijs Sieswerda, Andrew J. Fleming, and Tom Oomen
In IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Delft, The Netherlands, 2021

137. Frequency-domain data-driven controller synthesis for unstable LPV systems [pdf|arXiv]

Tom Bloemers, Roland Tóth, and Tom Oomen
In 4th IFAC Workshop on Linear Parameter Varying Systems, Milan, Italy, 2021

136. On data-driven design of LPV controllers with flexible reference models [pdf]

Valentina Breschi, Max van Meer, Tom Oomen, and Simone Formentin
In 4th IFAC Workshop on Linear Parameter Varying Systems, Milan, Italy, 2021

135. Model-free learning for massive MIMO systems: Stochastic approximation adjoint iterative learning control [pdf]

Leontine Aarnoudse and Tom Oomen
In 2021 IEEE American Control Conference, New Orleans, Louisiana, 2021

134. Closed-loop aspects in MIMO fault diagnosis with application to precision mechatronics [pdf]

Koen Classens, W.P.M.H. Heemels, and Tom Oomen
In 2021 IEEE American Control Conference, New Orleans, Louisiana, 2021

133. Suppressing non-collocated disturbances in inferential motion control: With application to a wafer stage [pdf]

Nic Dirkx, Noud Mooren, and Tom Oomen
In 2021 IEEE American Control Conference, New Orleans, Louisiana, 2021

132. Accurate H-infinity-norm estimation via finite-frequency norms of local parametric models [pdf]

Paul Tacx and Tom Oomen
In 2021 IEEE American Control Conference, New Orleans, Louisiana, 2021

131. Glitch compensation for a digital-to-analogue converter [pdf]

Stan Verbeek, Tom Oomen, and Arnfinn A. Eielsen
In 2021 IEEE American Control Conference, New Orleans, Louisiana, 2021

130. Control-relevant neural networks for intelligent motion feedforward [pdf|link]

Leontine Aarnoudse, Wataru Ohnishi, Maurice Poot, Paul Tacx, Nard Strijbosch, and Tom Oomen
In IEEE International Conference on Mechatronics, Kashiwa, Japan, 2021

129. A closed-loop perspective on fault detection for precision motion control: With application to an overactuated system [pdf|link]

Koen Classens, Maurice Heemels, and Tom Oomen
In IEEE International Conference on Mechatronics, Kashiwa, Japan, 2021

128. Suppressing spatially distributed disturbances by exploiting additional sensors and actuators in inferential motion control [pdf|link]

Nic Dirkx and Tom Oomen
In IEEE International Conference on Mechatronics, Kashiwa, Japan, 2021

127. Multirate state tracking for improving intersample behavior in iterative learning control

W. Ohnishi, N. Strijbosch, and T. Oomen [link]
In IEEE International Conference on Mechatronics, Kashiwa, Japan, 2021

126. Hybrid-MEM-element feedforward: with application to hysteretic piezoelectric actuators [pdf]

Nard Strijbosch and Tom Oomen
In 59th IEEE Conference on Decision and Control, Jeju Island, Korea, 2020

125. A control-oriented dynamical model of deposited droplet volume in electrohydrodynamic jet printing [pdf]

Isaac A. Spiegel, Tom van de Laar, Tom Oomen, and Kira Barton
In ASME 2020 Dynamic Systems and Control Conference, Pittsburgh, Pennsylvania, 2020

124. A data-driven model predictive control approach toward feedback linearization of nonlinear mechanical systems [pdf]

M. Floren, T. Oomen, and J.P. Noël
In 29th International Conference on Noise and Vibration Engineering (ISMA 2020) and 8th International Conference on Uncertainty in Structural Dynamics (USD 2020), Leuven, Belgium, 2020

123. Commutation-angle iterative learning control for intermittent data: Enhancing piezo-stepper actuator waveforms [pdf|arXiv]

Leontine Aarnoudse, Nard Strijbosch, Edwin Verschueren, and Tom Oomen
In Proceedings of the IFAC 21st Triennial World Congress, 8706-8711, Berlin, Germany, 2020

122. Multivariable experiment design with application to a wafer stage: a sequential relaxation approach for dealing with element-wise constraints [pdf]

Nic Dirkx and Tom Oomen
In Proceedings of the IFAC 21st Triennial World Congress, 8686-8691, Berlin, Germany, 2020

121. Temperature dependent modelling of thermoelectric elements [arXiv|pdf]

Enzo Evers, Rens Slenders, Rob van Gils, and Tom Oomen
In Proceedings of the IFAC 21st Triennial World Congress, 8746-8751, Berlin, Germany, 2020

120. Fast extremum seeking using multisine dither and online complex curve fitting [pdf]

Thijs van Keulen, Robert van der Weijst, and Tom Oomen
In Proceedings of the IFAC 21st Triennial World Congress, 5436-5441, Berlin, Germany, 2020

119. Gaussian process repetitive control for suppressing spatial disturbances [pdf|arXiv]

Noud Mooren, Gert Witvoet, and Tom Oomen
In Proceedings of the IFAC 21st Triennial World Congress, 1513-1518, Berlin, Germany, 2020

118. Locating nonlinearities in mechanical systems [pdf]

Jean-Philippe Noël, Jennifer Dietrich, and Tom Oomen
In Proceedings of the IFAC 21st Triennial World Congress, Berlin, Germany, 2020

117. On the role of models in learning control: Actor-critic iterative learning control [arXiv|pdf]

Maurice Poot, Jim Portegies, and Tom Oomen
In Proceedings of the IFAC 21st Triennial World Congress, 1476-1481, Berlin, Germany, 2020

116. Improving mechanical ventilation for patient care through repetitive control [pdf|arXiv]

Joey Reinders, Ruben Verkade, Bram Hunnekens, Nathan van de Wouw, and Tom Oomen
In Proceedings of the IFAC 21st Triennial World Congress, 1441-1446, Berlin, Germany, 2020

115. Monotonically convergent iterative learning control for piecewise affine systems [pdf]

Nard Strijbosch, Isaac Spiegel, Kira Barton, and Tom Oomen
In Proceedings of the IFAC 21st Triennial World Congress, 1500-1505, Berlin, Germany, 2020

114. Towards model order selection for robust-control-relevant system identification [pdf]

Paul Tacx, Robin de Rozario, and Tom Oomen
In Proceedings of the IFAC 21st Triennial World Congress, Berlin, Germany, 2020

113. Layer-to-layer predictive control of ink-jet 3D printing

Uduak Inyang-Udoh, Yijie Guo, Joost Peters, Tom Oomen, Sandipan Mishra
In 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Boston, Massachusetts, 2020

112. Long-range piezo-stepper actuators: Nanoscale accuracy through commutation-angle iterative learning control [pdf]

Leontine Aarnoudse, Nard Strijbosch, Edwin Verschueren, and Tom Oomen
In ASPE 2020 Spring – Design and Control of Precision Mechatronic Systems, 16-20, Cambridge, Massachusetts, 2020

111. How learning control improves product quality in semiconductor assembly equipment [pdf]

Gijs van der Veen, Joep Stokkermans, Noud Mooren, and Tom Oomen
In ASPE 2020 Spring – Design and Control of Precision Mechatronic Systems, 1-5, Cambridge, Massachusetts, 2020

110. On frequency response function identification for advanced motion control [arXiv|pdf|link]

Enzo Evers, Robbert Voorhoeve, and Tom Oomen
In International Workshop on Advanced Motion Control, 319-324, Agder, Norway, 2020

109. Suppressing position-dependent disturbances in repetitive control: With application to a substrate carrier system [pdf|link]

Noud Mooren, Gert Witvoet, Ibrahim Açan, Joep Kooijman, and Tom Oomen
In International Workshop on Advanced Motion Control, 331-336, Agder, Norway, 2020

108. Learning for advanced motion control [arXiv|link]

Tom Oomen
In International Workshop on Advanced Motion Control, 65-72, Agder, Norway, 2020

107. Modelling & identification for thermal control of cooling water with varying flow [pdf]

Bas Scheepens, Björn Bukkems, Theo Ruijl, Enzo Evers, and Tom Oomen
In EUSPEN Special Interest Group on Thermal Issues Laboratory for Machine Tools and Production Engineering (WZL), Aachen, Germany, 2020

106. Towards data-driven LPV controller synthesis based on frequency response functions [pdf]

Tom Bloemers, Roland Tóth, and Tom Oomen
In 58th IEEE Conference on Decision and Control, 5680-5685, Nice, France, 2019

105. Intermittent sampling in iterative learning control: A monotonically-convergent gradient-descent approach with application to time stamping [pdf]

Nard Strijbosch and Tom Oomen
In 58th IEEE Conference on Decision and Control, 6542-6547, Nice, France, 2019

104. Data-driven LPV reference tracking for a control moment gyroscope [pdf]

Tom Bloemers, Roland Tóth, and Tom Oomen
In 3rd IFAC Workshop on Linear Parameter-Varying Systems, 134-139, Eindhoven, The Netherlands, 2019

103. Iterative learning control in high-performance motion systems: From theory to implementation [pdf]

Martin Goubej, Sven Meeusen, Noud Mooren, and Tom Oomen
In 24th IEEE Conference on Emerging Technologies and Factory Automation, 851-856, Zaragoza, Spain, 2019

102. Multi-layer spatial iterative learning control for micro-additive manufacturing [pdf]

Leontine Aarnoudse, Christopher Pannier, Zahra Afkhami, Tom Oomen, and Kira Barton
In Joint Conference 8th IFAC Symposium on Mechatronic Systems and 11th IFAC Symposium on Nonlinear Control Systems, 372-377, Vienna, Austria, 2019

102. Optimal experiment design for multivariable motion systems: With application to a next-generation wafer stage [pdf]

Nic Dirkx, Jeroen van de Wijdeven, and Tom Oomen
In Joint Conference 8th IFAC Symposium on Mechatronic Systems and 11th IFAC Symposium on Nonlinear Control Systems, 1511-1516, Vienna, Austria, 2019

101. Identifying thermal dynamics for precision motion control [pdf]

Enzo Evers, Niels van Tuijl, Ronald Lamers, and Tom Oomen
In Joint Conference 8th IFAC Symposium on Mechatronic Systems and 11th IFAC Symposium on Nonlinear Control Systems, 319-324, Vienna, Austria, 2019

100. From batch-to-batch to online learning control: Experimental motion control case study [pdf]

Noud Mooren, Gert Witvoet, and Tom Oomen
In Joint Conference 8th IFAC Symposium on Mechatronic Systems and 11th IFAC Symposium on Nonlinear Control Systems, 1013-1018, Vienna, Austria, 2019

100. Learning control without prior models: Multi-variable model-free IIC, with application to a wide-format printer [pdf]

Robin de Rozario and Tom Oomen
In Joint Conference 8th IFAC Symposium on Mechatronic Systems and 11th IFAC Symposium on Nonlinear Control Systems, 366-371, Vienna, Austria, 2019

99. Commutation angle iterative learning control: Enhancing piezo-stepper actuator waveforms [pdf]

Nard Strijbosch, Paul Tacx, Edwin Verschueren, and Tom Oomen
In Joint Conference 8th IFAC Symposium on Mechatronic Systems and 11th IFAC Symposium on Nonlinear Control Systems, 1451-1456, Vienna, Austria, 2019

98. Essential challenges in motion control education [pdf]

Martin Cech, Jana Konigsmarkova, Martin Goubej, Tom Oomen, and Antonio Visioli
In 12th IFAC Symposium on Advanced in Control Education, 200-205, Philadelphia, Pennsylvania, 2019

97. Feedforward motion control: From batch-to-batch to online parameter estimation [pdf]

Noud Mooren, Gert Witvoet, and Tom Oomen
In 2019 IEEE American Control Conference, 947-952, Philadelphia, Pennsylvania, 2019

96. Online hose calibration for pressure control in mechanical ventilation [pdf]

Joey Reinders, Frank Heck, Bram Hunnekens, Tom Oomen, and Nathan van de Wouw
In 2019 IEEE American Control Conference, 5414-5419, Philadelphia, Pennsylvania, 2019

95. Multivariable learning control using frequency response data, a robust framework with application to a motion system [pdf]

Robin de Rozario, Juliana Langen, and Tom Oomen
In 2019 IEEE American Control Conference, 2215-2220, Philadelphia, Pennsylvania, 2019

94. Beyond quantization in iterative learning control: Exploiting time-varying time-stamps [pdf]

Nard Strijbosch and Tom Oomen
In 2019 IEEE American Control Conference, 2984-2989, Philadelphia, Pennsylvania, 2019

93. Line-to-line repetitive control of a 6-DoF hexapod stage for overlay measurements using atomic force microscopy [pdf]

Gert Witvoet, Joost Peters, Stefan Kuiper, and Tom Oomen
In 2019 IEEE American Control Conference, 2464-2469, Philadelphia, Pennsylvania, 2019

92. System inversion for sampled-data feedforward control: Balancing on-sample and intersample behavior [pdf]

Jurgen van Zundert, Wataru Ohnishi, Hiroshi Fujimoto, and Tom Oomen
In 2019 IEEE American Control Conference, 4472-4477, Philadelphia, Pennsylvania, 2019

91. Numerically reliable identification of fast sampled systems: A novel delta-domain data-dependent orthonormal polynomial approach [pdf]

Robbert Voorhoeve and Tom Oomen
In 57th IEEE Conference on Decision and Control, 1433-1438, Miami Beach, Florida, 2018

90. Thermo-mechanical behavior in precision motion control: Unified framework for fast and accurate FRF identification [pdf]

Enzo Evers, Bram de Jager, and Tom Oomen
In 2018 IEEE IECON, Washington D.C., United States, 2018

90. Inverse system estimation for feedforward control: A kernel-based approach for systems in RL-infinity [pdf]

Lennart Blanken, Ids van de Meijdenberg, and Tom Oomen
In 18th IFAC Symposium on System Identification, 1050-1055, Stockholm, Sweden, 2018

89. Improved local rational method by incorporating system knowledge: With application to mechanical and thermal dynamical systems [pdf]

Enzo Evers, Bram de Jager, and Tom Oomen
In 18th IFAC Symposium on System Identification, 808-813, Stockholm, Sweden, 2018

88. Frequency response identification of LPV systems: A global approach with application to mechanical systems [pdf]

Robin de Rozario and Tom Oomen
In 18th IFAC Symposium on System Identification, 108-113, Stockholm, Sweden, 2018

87. Data-driven feedforward learning using non-causal rational basis functions: Application to an industrial flatbed printer [pdf]

Lennart Blanken, Goksan Isil, Sjirk Koekebakker, and Tom Oomen
In 2018 IEEE American Control Conference, 6672-6677, Milwaukee, Wisconsin, 2018

86. Accommodating trial-varying tasks in iterative learning control for LPV systems, applied to printer sheet positioning [pdf]

Robin de Rozario, Remy Pelzer, Sjirk Koekebakker, and Tom Oomen
In 2018 IEEE American Control Conference, 5213-5218, Milwaukee, Wisconsin, 2018

85. Achieving perfect causal feedforward control in presence of nonminimum-phase behavior - exploiting additional actuators and squaring down [pdf]

Jurgen van Zundert, Fons Luijten, and Tom Oomen
In 2018 IEEE American Control Conference, 6031-6036, Milwaukee, Wisconsin, 2018

84. Compensating quasi-static disturbances for inferential control: an observer-based approach applied to a wafer stage [pdf]

Noud Mooren, Robbert Voorhoeve, Nic Dirkx, and Tom Oomen
In IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization (SAMCON), 1-2, Tokyo, Japan, 2018.

83. Enabling high precision for position-dependent motion systems using iterative learning control [pdf]

Robin de Rozario and Tom Oomen
In IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization (SAMCON), 1-2, Tokyo, Japan, 2018.

82. Frequency domain design of iterative learning control and repetitive control for complex motion systems [pdf]

Nard Strijbosch, Lennart Blanken, and Tom Oomen
In IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization (SAMCON), 1-2, Tokyo, Japan, 2018.

81. System inversion from the perspective of inverse model feedforward with application to a nonminimum-phase benchmark system [pdf]

Jurgen van Zundert and Tom Oomen
In IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization (SAMCON), 1-2, Tokyo, Japan, 2018.

80. Kernel-based regression of non-causal systems for inverse model feedforward estimation [pdf]

Lennart Blanken, Ids van den Meijdenberg, and Tom Oomen
In 15th International Workshop on Advanced Motion Control, 461-466, Tokyo, Japan, 2018

79. Sparse iterative learning control (SPILC): When to sample for resource-efficiency? [pdf]

Tom Oomen and Cristian R. Rojas
In 15th International Workshop on Advanced Motion Control, 497-502, Tokyo, Japan, 2018

78. Improving transient learning behavior in model-free inversion-based iterative control with application to a desktop printer [pdf]

Robin de Rozario and Tom Oomen
In 15th International Workshop on Advanced Motion Control, 455-460, Tokyo, Japan, 2018

77. LPTV loop-shaping with application to non-equidistantly sampled precision mechatronics [pdf]

Jurgen van Zundert and Tom Oomen
In 15th International Workshop on Advanced Motion Control, 467-472, Tokyo, Japan, 2018

76. Data-driven H-infinity-norm estimation via expert advice [pdf]

Gianmarco Rallo, Simone Formentin, Cristian R. Rojas, Tom Oomen, and Sergio M. Savaresi
In 56th IEEE Conference on Decision and Control, 1560-1565, Melbourne, Australia, 2017

75. Multivariable repetitive control design framework applied to flatbed printing with continuous media flow [pdf]

Lennart Blanken, Tim Hazelaar, Sjirk Koekebakker, and Tom Oomen
In 56th IEEE Conference on Decision and Control, 4427-4732, Melbourne, Australia, 2017

74. Distributed model predictive control for ink-jet 3D printing process [pdf]

Yijie Guo, Joost Peters, Tom Oomen, Sandipan Mishra
In 2017 IEEE International Conference on Advanced Intelligent Mechatronics, 436-441, Munich, Germany, 2017

73. Flexible ILC: Towards a convex approach for non-causal rational basis functions [pdf]

Lennart Blanken, Goksan Isil, Sjirk Koekebakker, and Tom Oomen
In IFAC 2017 World Congress, 12613-12618, Toulouse, France, 2017

72. Synchronizing decentralized control loops for overall performance enhancement: A Youla framework applied to a wafer scanner [pdf]

Enzo Evers, Marc van de Wal, and Tom Oomen
In IFAC 2017 World Congress, 11332-11337, Toulouse, France, 2017

71. Identification of control-relevant diesel engine models using a local linear parametric approach [pdf]

Thijs van Keulen, Lars Huijben, and Tom Oomen
In IFAC 2017 World Congress, 8102-8107, Toulouse, France, 2017

70. Global feedforward control of spatio-temporal mechanical systems: With application to a prototype wafer stage [pdf]

Robin de Rozario, Robbert Voorhoeve, Wouter Aangenent, and Tom Oomen
In IFAC 2017 World Congress, 15140-15145, Toulouse, France, 2017

69. Inverting nonminimum-phase systems from the perspectives of feedforward and ILC [pdf]

Jurgen van Zundert and Tom Oomen
In IFAC 2017 World Congress, Toulouse, 12607-12612, France, 2017

68. On optimal feedforward and ILC: The role of feedback for optimal performance and inferential control [pdf]

Jurgen van Zundert and Tom Oomen
In IFAC 2017 World Congress, 6267-6272, Toulouse, France, 2017

67. Evaluating performance of multivariable vibration isolators: A frequency domain identification approach applied to an industrial AVIS [pdf]

Michiel Beijen, Marcel Heertjes, Robbert Voorhoeve, and Tom Oomen
In 2017 IEEE American Control Conference, 3512-3517, Seattle, Washington, 2017

66. ILC and feedforward control for LPV Systems: With application to a position-dependent motion system [pdf]

Robin de Rozario, Tom Oomen, and Maarten Steinbuch
In 2017 IEEE American Control Conference, 3518-3523, Seattle, Washington, 2017

65. An approach to stable inversion of LPTV systems: With application to a position-dependent motion system [pdf]

Jurgen van Zundert and Tom Oomen
In 2017 IEEE American Control Conference, 4890-4895, Seattle, Washington, 2017

64. Advanced motion control for next-generation precision mechatronics: Challenges for control, identification, and learning [pdf]

Tom Oomen
In 2017 IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization (SAMCON), 1-10, Nagaoka, Japan, 2017

63. Design and modeling aspects in multivariable iterative learning control [pdf]

Lennart Blanken, Sjirk Koekebakker, and Tom Oomen
In 55th IEEE Conference on Decision and Control, 5502-5507, Las Vegas, Nevada, 2016

62. Advanced feedforward, repetitive, and iterative learning control for industrial printing systems [pdf]

Lennart Blanken, Robin de Rozario, Jurgen van Zundert, Sjirk Koekebakker, Maarten Steinbuch, and Tom Oomen
In DSPE Conference 2016, 79-86, Sint Michielsgestel, The Netherlands, 2016

61. Design techniques for multivariable ILC: Application to an industrial flatbed printer [pdf]

Lennart Blanken, Jeroen Willems, Sjirk Koekebakker, and Tom Oomen
In 7th IFAC Symposium on Mechatronic Systems & 15th Mechatronics Forum International Conference, 213-221, Loughborough, UK, 2016. Awarded with the Best Poster Paper Award

60. Iterative control for periodic tasks with robustness considerations, Applied to a nanopositioning stage [pdf]

Robin de Rozario, Andrew Fleming, and Tom Oomen
In 7th IFAC Symposium on Mechatronic Systems & 15th Mechatronics Forum International Conference, 623-628, Loughborough, UK, 2016

59. Tensor methods for MIMO decoupling using frequency response functions [pdf]

Julian Stoev, Tom Oomen, and Johan Schoukens
In 7th IFAC Symposium on Mechatronic Systems & 15th Mechatronics Forum International Conference, 447-453, Loughborough, UK, 2016

58. Estimating structural deformations for inferential control: A disturbance observer approach [pdf]

Robbert Voorhoeve, Nic Dirkx, Teun Melief, Wouter Aangenent, and Tom Oomen
In 7th IFAC Symposium on Mechatronic Systems & 15th Mechatronics Forum International Conference, 642-648, Loughborough, UK, 2016

57. Resource efficient ILC: Enabling large tasks on an industrial flatbed printer [pdf]

Jurgen van Zundert, Joost Bolder, Sjirk Koekebakker, and Tom Oomen
In 7th IFAC Symposium on Mechatronic Systems & 15th Mechatronics Forum International Conference, 567-574, Loughborough, UK, 2016. Awarded with the Best Student Paper Award

56. Rational feedforward tuning: Approaches, stable inversion, and experimental Comparison [pdf]

Lennart Blanken, Frank Boeren, Dennis Bruijnen, and Tom Oomen
In 2016 IEEE American Control Conference, 2629-2634, Invited paper, Boston, Massachusetts, United States, 2016

55. Frequency response function identification of LPV Systems: A 2D-LRM approach with application to a medical x-ray system [pdf]

Annemiek van der Maas, Rick van der Maas, Robbert Voorhoeve, and Tom Oomen
In 2016 IEEE American Control Conference, 4598-4603, Invited paper, Boston, Massachusetts, United States, 2016

54. Identification for motion control: Incorporating constraints and numerical considerations [pdf]

Robbert Voorhoeve, Robin de Rozario, and Tom Oomen
In 2016 IEEE American Control Conference, 6209-6214, Invited paper, Boston, Massachusetts, United States, 2016

53. On the potential of lifted domain feedforward controllers with a periodic sampling sequence [pdf]

Jurgen van Zundert, Tom Oomen, Dip Goswami, and Maurice Heemels
In 2016 IEEE American Control Conference, 4227-4232, Invited paper, Boston, Massachusetts, United States, 2016

52. Unified ILC framework for repeating and varying tasks: A frequency domain approach with application to semiconductor bonding equipment [pdf]

Frank Boeren, Abhishek Bareja, Tom Kok, and Tom Oomen
In 54th IEEE Conference on Decision and Control, 6724-6729, Invited paper, Osaka, Japan, 2015

51. Rational iterative feedforward control: optimal instrumental variable approach for enhanced performance [pdf]

Frank Boeren, Lennart Blanken, Dennis Bruijnen, and Tom Oomen
In 54th IEEE Conference on Decision and Control, 6058-6063, Invited paper, Osaka, Japan, 2015

50. Enhancing current density profile control in tokamak experiments using iterative learning control [pdf]

Federico Felici and Tom Oomen
In 54th IEEE Conference on Decision and Control, 5370-5377, Invited paper, Osaka, Japan, 2015

49. Accurate frequency response function identification of LPV Systems: A 2D local parametric modeling approach [pdf]

Rick van der Maas, Annemiek van der Maas, and Tom Oomen
In 54th IEEE Conference on Decision and Control, 1465-1470, Osaka, Japan, 2015

48. IFT-LPV: Data-based tuning of fixed structure controllers for LPV systems [pdf]

Sachin Navalkar, Tom Oomen, and Jan-Willem van Wingerden
In 17th IFAC Symposium on System Identification, 721-726, Beijing, China, 2015

47. Asymptotically exact direct data-driven multivariable controller tuning [pdf]

Simone Formentin, Andrea Bisoffi, and Tom Oomen
In 17th IFAC Symposium on System Identification, 1349-1354, Beijing, China, 2015

46. Identification of high-tech motion systems: An active vibration isolation benchmark [pdf|webpage]

Robbert Voorhoeve, Annemiek van Rietschoten, Egon Geerardyn, and Tom Oomen
In 17th IFAC Symposium on System Identification, 1250-1255, Invited paper, Beijing, China, 2015

45. Data-driven optimal ILC for multivariable systems: Removing the need for L and Q filter design [pdf]

Joost Bolder and Tom Oomen
In Proceedings of the 2015 American Control Conference, 3546-3551, Invited paper, Chicago, Illinois, United States, 2015

44. Feedforward for multi-rate motion control: Enhanced performance and cost-effectiveness [pdf]

J.C.D. van Zundert, J.L.C. Verhaegh, W.H.T.M. Aangenent, T. Oomen, D. Antunes, and W.P.M.H. Heemels
In Proceedings of the 2015 American Control Conference, 2831-2836, Invited paper, Chicago, Illinois, United States, 2015

43. Iterative learning control for varying tasks: Achieving optimality for rational basis functions [pdf]

Jurgen van Zundert, Joost Bolder, and Tom Oomen
In Proceedings of the 2015 American Control Conference, 3570-3575, Invited paper, Chicago, Illinois, United States, 2015

42. Robust output-feedback control to eliminate stick-slip oscillations in drill-string systems [pdf]

Thijs Vromen, Cam-Hing Dai, Nathan van de Wouw, Tom Oomen, Patricia Astrid, Henk Nijmeijer
In Proceedings of the 2nd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production, 272-277, Florianópolis, Brazil, 2015

41. Aspects in inferential iterative learning control: A 2D systems analysis [pdf]

Joost Bolder, Tom Oomen, and Maarten Steinbuch
In Proceedings of the 53rd IEEE Conference on Decision and Control, 3584-3589, Los Angeles, California, United States, 2014

40. Improving the H-infinity norm estimate of an active vibration isolation system using local rational models [pdf]

Egon Geerardyn, Tom Oomen, and Johan Schoukens
In International Conference on Noise and Vibration Analysis, 161-172, Leuven, Belgium, 2014

39. Iterative feedforward tuning approach and experimental verification for nano-precision motion systems [pdf]

Frank Boeren, Dennis Bruijnen, Tom Oomen
In ASME 2014 Dynamic Systems and Control, 1-8, San Antonio, Texas, 2014

38. Enhancing H-infinity norm estimation using local LPM/LRM modeling: Applied to an AVIS [pdf]

Egon Geerardyn, Tom Oomen, and Johan Schoukens
In Proceedings of the IFAC 19th Triennial World Congress, 10856-10861, Cape Town, South Africa, 2014

37. Robust active vibration isolation: A multivariable data-driven approach [pdf]

Rick van der Maas and Tom Oomen
In Proceedings of the IFAC 19th Triennial World Congress, 4754-4759, Cape Town, South Africa, 2014

36. Subspace predictive repetitive control with reduced-dimension identification for wind turbine individual pitch control [pdf]

Sachin Navalkar, Tom Oomen, and Jan-Willem van Wingerden
In Proceedings of the IFAC 19th Triennial World Congress, 6436-6441, Cape Town, South Africa, 2014

35. Constrained iterative feedback tuning for robust high-precision motion control [pdf]

Bart J.C.H. Van der Velden, Tom Oomen, and Marcel F. Heertjes
In Proceedings of the IFAC 19th Triennial World Congress, 4915-4920, Cape Town, South Africa, 2014

35. On numerically reliable frequency-domain system identification: new connections and a comparison of methods [pdf]

Robbert Voorhoeve, Tom Oomen, Robbert van Herpen, and Maarten Steinbuch
In Proceedings of the IFAC 19th Triennial World Congress, 10018-10023, Cape Town, South Africa, 2014

34. Accuracy aspects in motion feedforward tuning [pdf]

Frank Boeren, Tom Oomen, and Maarten Steinbuch
In Proceedings of the 2014 American Control Conference, 2178-2183, Portland, Oregon, United States, 2014

33. On inferential iterative learning control: with example on a printing system [pdf]

Joost Bolder, Tom Oomen, and Maarten Steinbuch
In Proceedings of the 2014 American Control Conference, 1827-1832, Portland, Oregon, United States, 2014

32. Exploiting additional actuators and sensors for nano-positioning robust motion control [pdf]

Robbert van Herpen, Tom Oomen, Edward Kikken, Marc van de Wal, Wouter Aangenent, and Maarten Steinbuch
In Proceedings of the 2014 American Control Conference, 984-990, Portland, Oregon, United States, 2014

31. Subspace predictive repetitive control for wind turbine load alleviation using trailing edge flaps [pdf]

S.T. Navalkar, J.W. van Wingerden, E. van Solingen, T. Oomen, and G.A.M. van Kuik
In Proceedings of the 2014 American Control Conference, 4422-4427, Portland, Oregon, United States, 2014

30. Iterative feedforward control: A closed-loop identification problem and a solution [pdf]

Frank Boeren and Tom Oomen
In Proceedings of the 51th IEEE Conference on Decision and Control, 6694-6699, Florence, Italy, 2013

29. Exploiting rational basis functions in iterative learning control [pdf]

Joost Bolder, Tom Oomen, and Maarten Steinbuch
In Proceedings of the 51th IEEE Conference on Decision and Control, 7321-7326, Florence, Italy, 2013

28. Enhancing performance through multivariable weighting function design in H-infinity loop-shaping: with application to a motion system [pdf]

Frank Boeren, Robbert van Herpen, Tom Oomen, Marc van de Wal, and Okko Bosgra
In Proceedings of the 2013 American Control Conference, 6051-6056, Invited Paper, Washington, DC, United States, 2013

27. Iteratively learning the H-infinity norm of multivariable systems applied to model-error-modeling of a vibration isolation system [pdf]

Tom Oomen, Rick van der Maas, Cristian R. Rojas, and Håkan Hjalmarsson
In Proceedings of the 2013 American Control Conference, 6718-6723, Invited Paper, Washington, DC, United States, 2013

26. Bi-orthonormal basis functions for improved frequency domain system identification [pdf|link]

Robbert van Herpen, Tom Oomen, and Okko Bosgra
In Proceedings of the 51th IEEE Conference on Decision and Control, 3451-3456, Maui, Hawaii, United States, 2012

25. Iterative learning control with basis functions for media positioning in scanning inkjet printers [pdf|link]

Joost Bolder, Sjirk Koekebakker, Bas Lemmen, Tom Oomen, Okko Bosgra, and Maarten Steinbuch
In 2012 IEEE Multi-conference on Systems and Control, invited paper, 1255-1260, Dubrovnik, Croatia, 2012

24. Numerically reliable frequency-domain estimation of transfer functions: A computationally efficient methodology [pdf|link]

Robbert van Herpen, Tom Oomen, and Okko Bosgra
In 16th IFAC Symposium on System Identification, 595-600, Brussels, Belgium, 2012

23. Selecting uncertainty structures in identification for robust control with an automotive application [pdf|link]

Tom Oomen and Okko Bosgra
In 16th IFAC Symposium on System Identification, 601-606, Brussels, Belgium, 2012

22. New Connections between frequency response functions for a class of nonlinear systems [pdf|link]

David Rijlaarsdam, Tom Oomen, Pieter Nuij, Johan Schoukens, and Maarten Steinbuch
In 16th IFAC Symposium on System Identification, invited paper, 280-285, Brussels, Belgium, 2012

21. Next-generation wafer stage motion control: connecting system identification and robust control [pdf]

Tom Oomen, Robbert van Herpen, Sander Quist, Marc van de Wal, Okko Bosgra, and Maarten Steinbuch
In Proceedings of the 2012 American Control Conference, invited Paper, 2455-2460, Montreal, Canada, 2012

20. Inferential motion control: identification and robust control with unmeasured performance variables [pdf|link]

Tom Oomen, Erik Grassens, Ferdinand Hendriks, Robbert van Herpen, Okko Bosgra
In Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference , 964-969, Orlando, Florida, United States, 2011

19. Analyzing iterations in identification with application to nonparametric H-infinity norm estimation [pdf|link]

Tom Oomen, Cristian R. Rojas, Håkan Hjalmarsson, and Bo Wahlberg
In Proceedings of the IFAC 18th Triennial World Congress, invited paper, 9972 - 9977, Milan, Italy, 2011

18. A robust-control-relevant perspective on model order selection [pdf]

Robbert van Herpen, Tom Oomen, and Okko Bosgra
In Proceedings of the 2011 American Control Conference, 1224 - 1229, San Francisco, California, United States, 2011

17. Identification and visualization of robust-control-relevant model sets with application to an industrial wafer stage [pdf|link]

Tom Oomen, Sander Quist, Robbert van Herpen, and Okko Bosgra
In Proceedings of the 49th Conference on Decision and Control, 5530-5535, Atlanta, Georgia, United States, 2010

16. Alternative frequency-domain stability criteria for discrete-time networked systems with multiple delays [pdf|link]

W.P.M.H. Heemels, R. Merry, and T. Oomen
In 2nd IFAC Workshop on Distributed Estimation and Control in Networked Systems, 73-78, Annecy, France, 2010

15. Experimental validation of a quarter truck model using asynchronous measurements with low signal-to-noise ratios [pdf]

Willem-Jan Evers, Igo Besselink, Arjan Teerhuis, Tom Oomen, and Henk Nijmeijer
In 10th International Symposium on Advanced Vehicle Control, 177-182, Loughborough, United Kingdom, 2010

14. Experimental validation of a truck roll model using asynchronous measurements with low signal-to-noise ratios [pdf]

Willem-Jan Evers, Igo Besselink, Arjan Teerhuis, Tom Oomen, and Henk Nijmeijer
In Proceedings of the 2010 American Control Conference, 4588-4593, Maryland, Maryland, United States, 2010

13. A robust-control-relevant model validation approach for continuously variable transmission control [pdf]

Tom Oomen, Stan van der Meulen, Okko Bosgra, Maarten Steinbuch, and Jos Elfring
In Proceedings of the 2010 American Control Conference, 3518-3523, Baltimore, Maryland, United States, 2010

12. Experimental evaluation of robust-control-relevance: A confrontation with a next-generation wafer stage [pdf]

Robbert van Herpen, Tom Oomen, Marc van de Wal, and Okko Bosgra
In Proceedings of the 2010 American Control Conference, 3493-3499, Baltimore, Maryland, United States, 2010

11. Identification for robust inferential control [pdf|link]

Tom Oomen, Okko Bosgra, and Marc van de Wal
In Proceedings of the Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, 2581-2586, Shanghai, China, 2009

10. Well-posed model uncertainty estimation by design of validation experiments [pdf|link]

Tom Oomen and Okko Bosgra
In 15th IFAC Symposium on System Identification, 1199-1204, Saint-Malo, France, 2009

9. Robust-control-relevant coprime factor identification with application to model validation of a wafer stage [pdf|link]

Tom Oomen, Robbert van Herpen, and Okko Bosgra
In 15th IFAC Symposium on System Identification, 1044-1049, Saint-Malo, France, 2009

8. Low-order system identification and optimal control of intersample behavior in ILC [pdf|link]

Tom Oomen, Jeroen van de Wijdeven, and Okko Bosgra
In Proceedings of the 2009 American Control Conference, invited paper, 271-276, St. Louis, Missouri, United States, 2009

7. Reading of cracked optical discs using iterative learning control [pdf|link]

Maarten Steinbuch, Koos van Berkel, George Leenknegt, Tom Oomen, and Jeroen van de Wijdeven
In Proceedings of the 2009 American Control Conference, 258-263, St. Louis, Missouri, United States, 2009

6. Estimating disturbances and model uncertainty in model validation for robust control [pdf|link]

Tom Oomen and Okko Bosgra
In Proceedings of the 47th Conference on Decision and Control, 5513-5518, Cancun, Mexico, 2008

5. Suppressing intersample behavior in iterative learning control [pdf|link]

Tom Oomen, Jeroen van de Wijdeven, and Okko Bosgra
In Proceedings of the 47th Conference on Decision and Control, 2391-2397, Cancun, Mexico, 2008

4. Robust-control-relevant coprime factor identification: A numerically reliable frequency domain approach [pdf|link]

Tom Oomen and Okko Bosgra
In Proceedings of the 2008 American Control Conference, 625-631, Seattle, Washington, United States, 2008

3. Aliasing of resonance phenomena in sampled-data control design: Hazards, modeling, and a solution [pdf|link]

Tom Oomen, Marc van de Wal, and Okko Bosgra
In Proceedings of the 2007 American Control Conference, 2881-2886, New York, New York, United States, 2007

2. Exploiting H-infinity sampled-data control theory for high-precision electromechanical servo control design [pdf|link]

Tom Oomen, Marc van de Wal, and Okko Bosgra
In Proceedings of the 2006 American Control Conference, pages 1086-1091, Minneapolis, Minnesota, United States, 2006.

1. Optimal digital control of analog systems: A survey [pdf]

Tom Oomen, Marc van de Wal, Okko Bosgra, and Maarten Steinbuch
In Marcel F. Heertjes, editor, Proceedings of the 8th Philips Conference on Applications of Control Technology, pages 139-144, Hilvarenbeek, The Netherlands, 2005

Miscellaneous

180. Advanced motion control for precision mechatronics: Identification, learning, and control [poster]

Tom Oomen
In 10th Nagamori award ceremony, Kyoto, Japan, 2024

179. A comparative study of structured ambiguity sets for stochastic optimization [pdf]

Lotfi M. Chaouach, Tom Oomen, and Dimitris Boskos
In Laurens Jacobs, Alejandro Astudillo, John Lataire, Rodolphe Sepulchre, Jan Swevers, Ann Pintelon, Dries Peumans, and Wilm Decré, editors, 43rd Benelux Workshop on Systems and Control, 59, Blankenberge, Belgium, 2024

178. Iterative decoupling for multivariate time-varying loops in the Virgo Gravitational Wave detector [pdf]

Mathyn van Dael, Gert Witvoet, Bas Swinkels, and Tom Oomen
In Laurens Jacobs, Alejandro Astudillo, John Lataire, Rodolphe Sepulchre, Jan Swevers, Ann Pintelon, Dries Peumans, and Wilm Decré, editors, 43rd Benelux Workshop on Systems and Control, 226, Blankenberge, Belgium, 2024

177. Closed-loop data-enabled predictive control [pdf]

Rogier Dinkla, Sebastiaan P. Mulders, Tom Oomen, and Jan-Willem van Wingerden
In Laurens Jacobs, Alejandro Astudillo, John Lataire, Rodolphe Sepulchre, Jan Swevers, Ann Pintelon, Dries Peumans, and Wilm Decré, editors, 43rd Benelux Workshop on Systems and Control, 162, Blankenberge, Belgium, 2024

176. Measurement selection and observer design for optimal output estimation [pdf]

Raphaël Goetz, Hans Zwart, Nathan van de Wouw, Tom Oomen, Marc van de Wal
In Laurens Jacobs, Alejandro Astudillo, John Lataire, Rodolphe Sepulchre, Jan Swevers, Ann Pintelon, Dries Peumans, and Wilm Decré, editors, 43rd Benelux Workshop on Systems and Control, 28, Blankenberge, Belgium, 2024

175. Additive continuous-time identification: With application to modal mechanical systems [pdf]

Rodrigo A. González, Koen Classens, Cristian R. Rojas, James S. Welsh, and Tom Oomen
In Laurens Jacobs, Alejandro Astudillo, John Lataire, Rodolphe Sepulchre, Jan Swevers, Ann Pintelon, Dries Peumans, and Wilm Decré, editors, 43rd Benelux Workshop on Systems and Control, 263, Blankenberge, Belgium, 2024

174. Extending Nyquist limits in frequency response function identification: Applied to slow-sampled systems [pure|pdf]

Max van Haren, Leonid Mirkin, Lennart Blanken, and Tom Oomen
In Laurens Jacobs, Alejandro Astudillo, John Lataire, Rodolphe Sepulchre, Jan Swevers, Ann Pintelon, Dries Peumans, and Wilm Decré, editors, 43rd Benelux Workshop on Systems and Control, 30, Blankenberge, Belgium, 2024

173. On robust fault detection for precision mechatronics [pdf|pure]

Tjeerd Ickenroth, Koen Classens, Jeroen van de Wijdeven, W.P.M.H. Heemels, Tom Oomen
In Laurens Jacobs, Alejandro Astudillo, John Lataire, Rodolphe Sepulchre, Jan Swevers, Ann Pintelon, Dries Peumans, and Wilm Decré, editors, 43rd Benelux Workshop on Systems and Control, 117, Blankenberge, Belgium, 2024

172. Experiment design for mechanically ventilated patients [pdf]

Lars van de Kamp, Bram Hunnekens, Nathan van de Wouw, Tom Oomen
In Laurens Jacobs, Alejandro Astudillo, John Lataire, Rodolphe Sepulchre, Jan Swevers, Ann Pintelon, Dries Peumans, and Wilm Decré, editors, 43rd Benelux Workshop on Systems and Control, 229, Blankenberge, Belgium, 2024

171. Unconstrained parametrization of all stable transfer functions [pdf]

Johan Kon, Roland Tóth, Jeroen van de Wijdeven, Marcel Heertjes, and Tom Oomen
In Laurens Jacobs, Alejandro Astudillo, John Lataire, Rodolphe Sepulchre, Jan Swevers, Ann Pintelon, Dries Peumans, and Wilm Decré, editors, 43rd Benelux Workshop on Systems and Control, 33, Blankenberge, Belgium, 2024

170. Robust commutation for minimal average torque ripple in Switched Reluctance Motors [pdf]

Max van Meer, Gert Witvoet, and Tom Oomen
In Laurens Jacobs, Alejandro Astudillo, John Lataire, Rodolphe Sepulchre, Jan Swevers, Ann Pintelon, Dries Peumans, and Wilm Decré, editors, 43rd Benelux Workshop on Systems and Control, 115, Blankenberge, Belgium, 2024

169. Gaussian processes for advanced motion control [pdf]

Maurice Poot, Jim Portegies, Liang Oei, Dragan Kostić and Tom Oomen
In Laurens Jacobs, Alejandro Astudillo, John Lataire, Rodolphe Sepulchre, Jan Swevers, Ann Pintelon, Dries Peumans, and Wilm Decré, editors, 43rd Benelux Workshop on Systems and Control, 124, Blankenberge, Belgium, 2024

168. Identifying frequency response functions: A fast and accurate approach that enables measuring above the Nyquist frequency [pdf]

Max van Haren, Leonid Mirkin, Lennart Blanken, and Tom Oomen
In 2023 Precisiebeurs, poster presentation, Den Bosch, The Netherlands, 2023

167. Advanced feedforward control for motion systems [pdf]

Mathyn van Dael, Maurice Poot, Max van Meer, Max van Haren, and Tom Oomen
In 2023 Precisiebeurs, poster presentation, Den Bosch, The Netherlands, 2023

166. Identification of linear state-space models subject to truncated Gaussian disturbances [pdf|pure]

Rodrigo A. González, Angel L. Cedeño, Koen Tiels, and Tom Oomen
In 2023 ERNSI Workshop on System Identification, poster presentation, Stockholm, Sweden, 2023

165. Control variates for multivariate truncated probability density funcions with applications in system identification [pdf|pure|poster]

Koen Tiels, Rodrigo A. González, and Tom Oomen
In 2023 ERNSI Workshop on System Identification, poster presentation, Stockholm, Sweden, 2023

164. (Machine) learning for feedforward in precision mechatronics [pdf|pure|poster]

Leontine Aarnoudse, Nard Strijbosch, Paul Tacx, Edwin Verschueren, and Tom Oomen
In DSPE 5th Conference on Precision Mechatronics, 146-149, Sint-Michielsgestel, The Netherlands, 2023

163. Commutation-angle domain iterative learning control: Learning waveforms for piezo stepper actuators [pdf|pure|poster]

Leontine Aarnoudse and Tom Oomen
In DSPE 5th Conference on Precision Mechatronics, 144-145, Sint-Michielsgestel, The Netherlands, 2023

162. Learning of physics-based feedforwards for position-dependent motion systems [pdf|poster]

Lennart Blanken, Max van Haren, Hans Kuppens, and Tom Oomen
In DSPE 5th Conference on Precision Mechatronics, 140, Sint-Michielsgestel, The Netherlands, 2023

161. Fault diagnosis for high-tech precision mechatronics: With application to a prototype wafer stage [pdf|poster]

Koen Classens, W.P.M.H. (Maurice) Heemels, and Tom Oomen
In DSPE 5th Conference on Precision Mechatronics, 150, Sint-Michielsgestel, The Netherlands, 2023

160. FRF identification above the Nyquist frequency [pdf|pure|poster]

Max van Haren, Leonid Mirkin, Lennart Blanken, and Tom Oomen
In DSPE 5th Conference on Precision Mechatronics, 120-121, Sint-Michielsgestel, The Netherlands, 2023

159. Learning for precision motion of mechatronic systems: Add-on physics-guided neural network feedforward control [pure|pdf|poster]

Johan Kon, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, and Tom Oomen
In DSPE 5th Conference on Precision Mechatronics, 108-109, Sint-Michielsgestel, The Netherlands, 2023

158. Reducing torque ripple in switched reluctance motors [pdf|poster]

Max van Meer, Gert Witvoet, and Tom Oomen
In DSPE 5th Conference on Precision Mechatronics, 131, Sint-Michielsgestel, The Netherlands, 2023

157. Mechanical models for advanced motion control [pdf]

Paul Tacx, Matthijs Teurlings, Roel Habraken, Gert Witvoet, Marcel Heertjes, and Tom Oomen
In DSPE 5th Conference on Precision Mechatronics, 142-143, Sint-Michielsgestel, The Netherlands, 2023

156. (Machine) learning for feedforward in precision mechatronics [pdf|pure]

Leontine Aarnoudse and Tom Oomen
In Leontine Aarnoudse, Max van Haren, Masahiro Mae, and Kentaro Tsuromoto, editors, JSPS-NWO Seminar Research Network on Learning in Machines, 7-8, Tokyo, Japan, 2023

155. Learning for data-intensive industrial machines [pdf|pure]

Lennart Blanken, Max van Haren, and Tom Oomen
In Leontine Aarnoudse, Max van Haren, Masahiro Mae, and Kentaro Tsuromoto, editors, JSPS-NWO Seminar Research Network on Learning in Machines, 13-14, Tokyo, Japan, 2023

154. Fault diagnosis for precision mechatronics [pdf|pure]

Koen Classens, W.P.M.H. (Maurice) Heemels, and Tom Oomen
In Leontine Aarnoudse, Max van Haren, Masahiro Mae, and Kentaro Tsuromoto, editors, JSPS-NWO Seminar Research Network on Learning in Machines, 17-18, Tokyo, Japan, 2023

153. Control in gravitational wave detectors [pdf|pure]

Mathyn van Dael, Gert Witvoet, Bas Swinkels, and Tom Oomen
In Leontine Aarnoudse, Max van Haren, Masahiro Mae, and Kentaro Tsuromoto, editors, JSPS-NWO Seminar Research Network on Learning in Machines, 19-20, Tokyo, Japan, 2023

152. High-precision mechatronics: From experiment design to point of interest control [pdf|pure]

Nic Dirkx, Koen Tiels, and Tom Oomen
In Leontine Aarnoudse, Max van Haren, Masahiro Mae, and Kentaro Tsuromoto, editors, JSPS-NWO Seminar Research Network on Learning in Machines, 21-22, Tokyo, Japan, 2023

151. Identification and control for periodic and parameter-varying systems [pdf|pure]

Max van Haren, Lennart Blanken, and Tom Oomen
In Leontine Aarnoudse, Max van Haren, Masahiro Mae, and Kentaro Tsuromoto, editors, JSPS-NWO Seminar Research Network on Learning in Machines, 25-26, Tokyo, Japan, 2023

150. Neural networks for feedforward control [pdf|pure]

Johan Kon, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, and Tom Oomen
In Leontine Aarnoudse, Max van Haren, Masahiro Mae, and Kentaro Tsuromoto, editors, JSPS-NWO Seminar Research Network on Learning in Machines, 33-34, Tokyo, Japan, 2023

149. Identification, calibration and control for motor commutation [pdf|pure]

Max van Meer, Gert Witvoet, and Tom Oomen
In Leontine Aarnoudse, Max van Haren, Masahiro Mae, and Kentaro Tsuromoto, editors, JSPS-NWO Seminar Research Network on Learning in Machines, 37-38, Tokyo, Japan, 2023

148. Learning in machines: From data to models, control performance, and monitoring [pdf|pure]

Tom Oomen, Leontine Aarnoudse, Lennart Blanken, Koen Classens, Mathyn van Dael, Nic Dirkx, Rodrigo González, Max van Haren, Johan Kon, Max van Meer, Maurice Poot, Paul Tacx, Koen Tiels, and Gert Witvoet
In Leontine Aarnoudse, Max van Haren, Masahiro Mae, and Kentaro Tsuromoto, editors, JSPS-NWO Seminar Research Network on Learning in Machines, 44-46, Tokyo, Japan, 2023

147. Feedforward control using Gaussian processes for semiconductor manufacturing equipment [pdf|pure]

Maurice Poot, Dragan Kostić, Jim Portegies, and Tom Oomen
In Leontine Aarnoudse, Max van Haren, Masahiro Mae, and Kentaro Tsuromoto, editors, JSPS-NWO Seminar Research Network on Learning in Machines, 47-48, Tokyo, Japan, 2023

146. Identification for multivariable precision mechatronics [pdf|pure]

Paul Tacx, Matthijs Teurlings, Roel Habraken, Gert Witvoet, Marcel Heertjes, and Tom Oomen
In Leontine Aarnoudse, Max van Haren, Masahiro Mae, and Kentaro Tsuromoto, editors, JSPS-NWO Seminar Research Network on Learning in Machines, 51-52, Tokyo, Japan, 2023

145. Next-Generation Opto-mechatronic systems: control for free-space optical communication [pdf|pure]

G. Witvoet, M. van Dael, R. Geraldes, M. van Meer, N. Mooren, P. Tacx and T. Oomen
In Leontine Aarnoudse, Max van Haren, Masahiro Mae, and Kentaro Tsuromoto, editors, JSPS-NWO Seminar Research Network on Learning in Machines, 59-60, Tokyo, Japan, 2023

144. (Machine) learning for feedforward in precision mechatronics [poster]

Leontine Aarnoudse and Tom Oomen
In Leontine Aarnoudse, Max van Haren, Masahiro Mae, and Kentaro Tsuromoto, editors, JSPS-NWO Seminar Research Network on Learning in Machines, 69, Tokyo, Japan, 2023

143. Time-varying interaction in gravitational wave detectors [poster]

Mathyn van Dael, Gert Witvoet, Bas Swinkels, and Tom Oomen
In Leontine Aarnoudse, Max van Haren, Masahiro Mae, and Kentaro Tsuromoto, editors, JSPS-NWO Seminar Research Network on Learning in Machines, 72, Tokyo, Japan, 2023

142. Robust-control-relevant experiment design and system identification [poster]

Nic Dirkx and Tom Oomen
In Leontine Aarnoudse, Max van Haren, Masahiro Mae, and Kentaro Tsuromoto, editors, JSPS-NWO Seminar Research Network on Learning in Machines, 73, Tokyo, Japan, 2023

141. FRF identification above the Nyquist frequency [poster]

Max van Haren, Leonid Mirkin, Lennart Blanken, and Tom Oomen
In Leontine Aarnoudse, Max van Haren, Masahiro Mae, and Kentaro Tsuromoto, editors, JSPS-NWO Seminar Research Network on Learning in Machines, 75, Tokyo, Japan, 2023

140. Neural networks for feedforward control [poster]

Johan Kon, Dennis Bruijnen, Marcel Heertjes, Tom Oomen
In Leontine Aarnoudse, Max van Haren, Masahiro Mae, and Kentaro Tsuromoto, editors, JSPS-NWO Seminar Research Network on Learning in Machines, 79, Tokyo, Japan, 2023

139. Identification and robust control for motor commutation [poster]

Max van Meer, Gert Witvoet, and Tom Oomen
In Leontine Aarnoudse, Max van Haren, Masahiro Mae, and Kentaro Tsuromoto, editors, JSPS-NWO Seminar Research Network on Learning in Machines, 80, Tokyo, Japan, 2023

138. Gaussian processes for advanced motion control [poster]

Maurice Poot, Jim Portegies, Noud Mooren, Max van Haren, Max van Meer, and Tom Oomen
In Leontine Aarnoudse, Max van Haren, Masahiro Mae, and Kentaro Tsuromoto, editors, JSPS-NWO Seminar Research Network on Learning in Machines, 81, Tokyo, Japan, 2023

137. Reformulations for data-driven stochastic optimization problems with structured ambiguity sets [pdf]

Lotfi M. Chaouach, Dimitris Boskos, and Tom Oomen
In Raffaella Carloni, Javier Alonso-Mora, Bayu Jayawardhana, and Erjen Lefeber, editors, 42nd Benelux Workshop on Systems and Control, 137, Elspeet, The Netherlands, 2023

136. On nullspace-based fault diagnosis of complex mechatronic systems [pdf]

Koen Classens, Maurice Heemels, and Tom Oomen
In Raffaella Carloni, Javier Alonso-Mora, Bayu Jayawardhana, and Erjen Lefeber, editors, 42nd Benelux Workshop on Systems and Control, 164, Elspeet, The Netherlands, 2023

135. Non-parametric continuous-time system identification with Lebesgue-sampled output measurements [pdf]

Rodrigo A. González, Koen Tiels, and Tom Oomen
In Raffaella Carloni, Javier Alonso-Mora, Bayu Jayawardhana, and Erjen Lefeber, editors, 42nd Benelux Workshop on Systems and Control, 103, Elspeet, The Netherlands, 2023

134. Joint physics-based and kernel-regularized LPV feedforward [pdf]

Max van Haren, Lennart Blanken, and Tom Oomen
In Raffaella Carloni, Javier Alonso-Mora, Bayu Jayawardhana, and Erjen Lefeber, editors, 42nd Benelux Workshop on Systems and Control, 168, Elspeet, The Netherlands, 2023

133. Feedforward control for an interventional X-ray: A physics-guided neural network approach [pdf]

Johan Kon, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, and Tom Oomen
In Raffaella Carloni, Javier Alonso-Mora, Bayu Jayawardhana, and Erjen Lefeber, editors, 42nd Benelux Workshop on Systems and Control, 163, Elspeet, The Netherlands, 2023

132. Improving position sensor calibration via Bayesian inference [pdf]

Max van Meer, Emre Deniz, Gert Witvoet, and Tom Oomen
In Raffaella Carloni, Javier Alonso-Mora, Bayu Jayawardhana, and Erjen Lefeber, editors, 42nd Benelux Workshop on Systems and Control, 161, Elspeet, The Netherlands, 2023

131. Feedforward tuning with input nonlinearities: Application to magnetic saturation in wirebonders [pdf]

Maurice Poot, Jim Portegies, and Tom Oomen
In Raffaella Carloni, Javier Alonso-Mora, Bayu Jayawardhana, and Erjen Lefeber, editors, 42nd Benelux Workshop on Systems and Control, 122, Elspeet, The Netherlands, 2023

130. Spatio-temporal modeling for next-generation motion control [pdf]

Paul Tacx, Matthijs Teurlings, Gert Witvoet, Marcel Heertjes, and Tom Oomen
In Raffaella Carloni, Javier Alonso-Mora, Bayu Jayawardhana, and Erjen Lefeber, editors, 42nd Benelux Workshop on Systems and Control, 166, Elspeet, The Netherlands, 2023

129. Alternating projection-based optimal ILC for linear systems with non-uniform trial lengths under input constraints [pdf]

Zhihe Zhuang, Max van Meer, Hongfeng Tao, Dianqing Zhou, and Tom Oomen
In Raffaella Carloni, Javier Alonso-Mora, Bayu Jayawardhana, and Erjen Lefeber, editors, 42nd Benelux Workshop on Systems and Control, 64, Elspeet, The Netherlands, 2023

128. Data-driven compensation of unmodeled dynamics for complex mechatronic systems – Part III: Control-relevant neural networks for feedforward [pdf]

Leontine Aarnoudse, Johan Kon, Wataru Ohnishi, Maurice Poot, Paul Tacx, Nard Strijbosch, and Tom Oomen
In Euspen Special Interest Group Meeting on Precision Motion Systems & Control, ’s-Hertogenbosch, The Netherlands, 2022

127. Digital twins for precision mechatronics: Predictive maintenance via fault detection and isolation [pdf]

Koen Classens, W.P.M.H. (Maurice) Heemels, and Tom Oomen
In Euspen Special Interest Group Meeting on Precision Motion Systems & Control, ’s-Hertogenbosch, The Netherlands, 2022

126. Precision control for gravitational wave detectors [pdf]

Mathyn van Dael, Gert Witvoet, Bas Swinkels, and Tom Oomen
In Euspen Special Interest Group Meeting on Precision Motion Systems & Control, ’s-Hertogenbosch, The Netherlands, 2022

125. Basis function feedforward for position-dependent systems [pdf]

Max van Haren, Lennart Blanken, and Tom Oomen
In Euspen Special Interest Group Meeting on Precision Motion Systems & Control, ’s-Hertogenbosch, The Netherlands, 2022

124. Data-driven compensation of unmodeled dynamics for complex mechatronic systems – Part II: Combining models and neural networks [pdf]

J. Kon, N. de Vos, D. Bruijnen, J. van de Wijdeven, M. Heertjes, and T. Oomen
In Euspen Special Interest Group Meeting on Precision Motion Systems & Control, ’s-Hertogenbosch, The Netherlands, 2022

123. Reducing torque ripple and power consumption in switched reluctance motors: a systematic approach to commutation function design [pdf]

Max van Meer, Gert Witvoet, and Tom Oomen
In Euspen Special Interest Group Meeting on Precision Motion Systems & Control, ’s-Hertogenbosch, The Netherlands, 2022

122. Data-driven compensation of unmodeled dynamics for complex mechatronic systems – Part I: Position-dependent feedforward through Gaussian process regression [pdf]

Maurice Poot, Max van Haren, Dragan Kostić, Jim Portegies, and Tom Oomen
In Euspen Special Interest Group Meeting on Precision Motion Systems & Control, ’s-Hertogenbosch, The Netherlands, 2022

121. Design analysis of future deformable mirrors [pdf|poster]

Paul Tacx, Roel Habraken, Gert Witvoet, Stefan Kuiper, Marcel Heertjes, and Tom Oomen
In Euspen Special Interest Group Meeting on Precision Motion Systems & Control, ’s-Hertogenbosch, The Netherlands, 2022

120. Signal-to-noise aspects in closed-loop fault identification [pdf]

Koen Classens, Maurice Heemels, and Tom Oomen
In 2022 ERNSI Workshop on System Identification, poster presentation, Leuven, Belgium, 2022

119. Frequency Domain Identification with missing data [pdf]

Nic Dirkx, Koen Tiels, and Tom Oomen
In 2022 ERNSI Workshop on System Identification, poster presentation, Leuven, Belgium, 2022

118. Compensation of hysteresis phenomena in a walking piezo actuator via hybrid-MEM-element identification [pdf]

Koen Tiels, Nard Strijbosch, and Tom Oomen
In 2022 ERNSI Workshop on System Identification, poster presentation, Leuven, Belgium, 2022

117. Identifying mechanical systems for control [pdf]

Paul Tacx and Tom Oomen
In 2022 ERNSI Workshop on System Identification, poster presentation, Leuven, Belgium, 2022

116. Improving intersample performance with linearly parameterized feedforward using sampled-data differentiator [pdf]

Masahiro Mae, Max van Haren, Wataru Ohnishi, Tom Oomen, and Hiroshi Fujimoto
In Joint 9th IFAC Symposium on Mechatronic Systems and 16th International Conference on Motion and Vibration Control, 259, Los Angeles, CA, 2022

115. Neural networks for motion feedforward: Control-relevant training and non-causality [pdf]

Leontine Aarnoudse, Johan Kon, Wataru Ohnishi, Maurice Poot, Paul Tacx, Nard Strijbosch, and Tom Oomen
In Alain Vande Wouwer, Michel Kinnaert, Emanuele Garone and Laurent Dewasme, editors, 41th Benelux Workshop on Systems and Control, 87, Brussels, Belgium, 2022

114. Tightening ambiguity set characterizations for data-driven distributionally robust optimization [pdf]

Lotfi Mustapha Chaouach, Dimitris Boskos, and Tom Oomen
In Alain Vande Wouwer, Michel Kinnaert, Emanuele Garone and Laurent Dewasme, editors, 41th Benelux Workshop on Systems and Control, 189, Brussels, Belgium, 2022

113. On robust fault diagnosis of complex mechatronic systems [pdf]

Koen Classens, W.P.M.H. Heemels, and Tom Oomen
In Alain Vande Wouwer, Michel Kinnaert, Emanuele Garone and Laurent Dewasme, editors, 41th Benelux Workshop on Systems and Control, 204, Brussels, Belgium, 2022

112. Control in Gravitational Wave detectors [pdf]

Mathyn van Dael, Gert Witvoet, Bas Swinkels, and Tom Oomen
In Alain Vande Wouwer, Michel Kinnaert, Emanuele Garone and Laurent Dewasme, editors, 41th Benelux Workshop on Systems and Control, 103, Brussels, Belgium, 2022

111. Multirate system identification using local polynomial modeling [pdf]

Max van Haren, Lennart Blanken, and Tom Oomen
In Alain Vande Wouwer, Michel Kinnaert, Emanuele Garone and Laurent Dewasme, editors, 41th Benelux Workshop on Systems and Control, 93, Brussels, Belgium, 2022

110. Feedforward control in the presence of input nonlinearities: A learning-based approach [pdf]

Jilles van Hulst, Maurice Poot, Dragan Kostić, Kai Wa Yan, Jim Portegies, and Tom Oomen
In Alain Vande Wouwer, Michel Kinnaert, Emanuele Garone and Laurent Dewasme, editors, 41th Benelux Workshop on Systems and Control, 128, Brussels, Belgium, 2022

109. Using ANNs in dynamical systems to improve asynchrony detection in mechanical ventilation [pdf]

Lars van de Kamp, Joey Reinders, Bram Hunnekens, Tom Oomen, and Nathan van de Wouw
In Alain Vande Wouwer, Michel Kinnaert, Emanuele Garone and Laurent Dewasme, editors, 41th Benelux Workshop on Systems and Control, 168, Brussels, Belgium, 2022

108. Physics-guided neural networks for feedforward control: An orthogonal projection-based approach [pdf]

Johan Kon, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, and Tom Oomen
In Alain Vande Wouwer, Michel Kinnaert, Emanuele Garone and Laurent Dewasme, editors, 41th Benelux Workshop on Systems and Control, 171, Brussels, Belgium, 2022

107. Flexible learning with prior knowledge: Iterative Learning control with physically characterized basis function [pdf]

Masahiro Mae, Max van Haren, Tom Oomen, Wataru Ohnishi, and Hiroshi Fujimoto
In Alain Vande Wouwer, Michel Kinnaert, Emanuele Garone and Laurent Dewasme, editors, 41th Benelux Workshop on Systems and Control, 174, Brussels, Belgium, 2022

106. Nonlinear feedforward control for a class of tasks: A Gaussian Process approach applied to a printer [pdf]

Max van Meer, Maurice Poot, Jim Portegies, and Tom Oomen
In Alain Vande Wouwer, Michel Kinnaert, Emanuele Garone and Laurent Dewasme, editors, 41th Benelux Workshop on Systems and Control, 121, Brussels, Belgium, 2022

105. Data-driven tuning of rational feedforward controllers for noncummutative MIMO systems [pdf]

Maurice Poot, Jim Portegies, and Tom Oomen
In Alain Vande Wouwer, Michel Kinnaert, Emanuele Garone and Laurent Dewasme, editors, 41th Benelux Workshop on Systems and Control, 74, Brussels, Belgium, 2022

104. Visualisation of MIMO uncertainty structures for robust control [pdf]

Paul Tacx and Tom Oomen
In Alain Vande Wouwer, Michel Kinnaert, Emanuele Garone and Laurent Dewasme, editors, 41th Benelux Workshop on Systems and Control, 38, Brussels, Belgium, 2022

103. Feedforward of sampled-data system for high-precision motion control using basis functions with ZOH differentiator [pdf]

Masahiro Mae, Max van Haren, Wataru Ohnishi, Tom Oomen, and Hiroshi Fujimoto
In 2022 IEEE American Control Conference, 3350, Atlanta, Georgia, 2022

102. Gaussian processes for advanced motion control [pdf]

Maurice Poot, Jim Portegies, Noud Mooren, Max van Haren, Max van Meer, and Tom Oomen
In 2022 IEEE American Control Conference, 3355, Atlanta, Georgia, 2022

101. A non-causal approach for suppressing the estimation delay of state observer [pdf]

Kentaro Tsurumoto, Wataru Ohnishi, Takafumi Koseki, Nard Strijbosch, and Tom Oomen
In 2022 IEEE American Control Conference, 3356, Atlanta, Georgia, 2022

100. Gaussian Processes for Advanced Motion Control [pdf]

Maurice Poot, Max van Meer, Max van Haren, Jim Portegies, Noud Mooren, and Tom Oomen
In Precision Fair, Den Bosch, The Netherlands, 2021

99. Identifying faults: A closed-loop perspective [pdf]

Koen Classens, W.P.M.H. Heemels, and Tom Oomen
In 29th ERNSI Workshop on System Identification, poster presentation, Rennes, France, 2021

98. Robust-control-relevant experiment design and system identification applied to a wafer stage [pdf]

Nic Dirkx and Tom Oomen
In 29th ERNSI Workshop on System Identification, poster presentation, Rennes, France, 2021

97. Accurate H-infinity-norm estimation via finite-frequency norms of MIMO local parametric models [pdf]

Paul Tacx and Tom Oomen
In 29th ERNSI Workshop on System Identification, poster presentation, Rennes, France, 2021

96. Efficient model-free iterative learning control for massive MIMO systems using stochastic approximation [pdf]

Leontine Aarnoudse and Tom Oomen
In Julien Hendrikx and Erjen Lefeber, editors, Benelux Workshop on Systems and Control, 24, Rotterdam, The Netherlands, 2021

95. On closed-loop fault diagnosis of complex mechatronic systems [pdf]

Koen Classens, W.P.M.H. (Maurice) Heemels, and Tom Oomen
In Julien Hendrikx and Erjen Lefeber, editors, Benelux Workshop on Systems and Control, 42, Rotterdam, The Netherlands, 2021

94. Intermittent sampling in repetitive control: Exploiting time-varying measurements [pdf]

Johan Kon, Nard Strijbosch, Sjirk Koekebakker, and Tom Oomen
In Julien Hendrikx and Erjen Lefeber, editors, Benelux Workshop on Systems and Control, 23, Rotterdam, The Netherlands, 2021

93. Kernel-based learning control for iteration-varying tasks applied to a printer with friction [pdf]

Maurice Poot, Jim Portegies, and Tom Oomen
In Julien Hendrikx and Erjen Lefeber, editors, Benelux Workshop on Systems and Control, 81, Rotterdam, The Netherlands, 2021

92. Accurate H-infinity-norm estimation via finite-frequency norms of local parametric models [pdf]

Paul Tacx and Tom Oomen
In Julien Hendrikx and Erjen Lefeber, editors, Benelux Workshop on Systems and Control, 43, Rotterdam, The Netherlands, 2021

91. Digital twins in control: From fault detection to predictive maintenance in precision mechatronics [pdf]

Koen Classens, Tom Oomen, W.P.M.H. (Maurice) Heemels, Jeroen van de Wijdeven, Marc van de Wal, and Wouter Aangenent
First Euspen Special Interest Group Meeting on Precision Motion Systems & Control, Veldhoven, The Netherlands, 2020

90. A multivariable experiment design framework for accurate FRF identification of complex systems [pdf]

Nic Dirkx, Jeroen van de Wijdeven, and Tom Oomen
First Euspen Special Interest Group Meeting on Precision Motion Systems & Control, Veldhoven, The Netherlands, 2020

89. Advanced identification and control: Thermodynamics in precision mechatronics [pdf]

Enzo Evers, Bram de Jager, and Tom Oomen
First Euspen Special Interest Group Meeting on Precision Motion Systems & Control, Veldhoven, The Netherlands, 2020

88. Compensating position-dependent disturbances in mechatronic systems: a new repetitive control framework with applications to a substrate carrier [pdf]

Noud Mooren, Gert Witvoet, and Tom Oomen
First Euspen Special Interest Group Meeting on Precision Motion Systems & Control, Veldhoven, The Netherlands, 2020

87. Learning for motion control in bonding machines: Bridging data-driven learning and physical modelling [pdf]

Maurice Poot, Dragan Kostić, Roel Vromans, George Maleas, Jim Portegies, and Tom Oomen
First Euspen Special Interest Group Meeting on Precision Motion Systems & Control, Veldhoven, The Netherlands, 2020

86. Long-range piezo actuators: Compensating hysteresis and commutation angle reproducible disturbances [pdf]

Nard Strijbosch, Leontine Aarnoudse, Paul Tacx, Edwin Verschueren, and Tom Oomen
First Euspen Special Interest Group Meeting on Precision Motion Systems & Control, Veldhoven, The Netherlands, 2020

85. Towards predictive maintenance via digital twinning: Bridging data-driven and model-based fault detection and isolation [pdf]

Koen Classens, Tom Oomen, W.P.M.H. (Maurice) Heemels, Jeroen van de Wijdeven, Marc van de Wal, Wouter Aangenent
Accepted for DSPE Conference 2020, Sint Michielsgestel, The Netherlands, 2020

84. Accurate FRF identification of complex systems via multivariable experiment design [pdf]

Nic Dirkx, Jeroen van de Wijdeven, and Tom Oomen
Accepted for DSPE Conference 2020, Sint Michielsgestel, The Netherlands, 2020

83. Temperature-dependent modeling of thermoelectric elements [pdf]

Enzo Evers, Rens Slenders, Rob van Gils, and Tom Oomen
Accepted for DSPE Conference 2020, Sint Michielsgestel, The Netherlands, 2020

82. Learning for motion control in bonding machines: Bridging data-driven learning and physical modelling [pdf]

Maurice Poot, Dragan Kostić, Roel Vromans, George Maleas, Jim Portegies, and Tom Oomen
Accepted for DSPE Conference 2020, Sint Michielsgestel, The Netherlands, 2020

81. Commutation-angle iterative learning control for walking piezo-stepper actuators [pdf]

Leontine Aarnoudse, Nard Strijbosch, Edwin Verschueren, and Tom Oomen
In R. Carloni, B. Jayawardhana, and E. Lefeber, editors, 39th Benelux Meeting on Systems and Control, 152, Elspeet, The Netherlands, 2020

80. Data-driven rational LPV controller synthesis for unstable systems using frequency response functions [pdf]

Tom Bloemers, Roland Tóth, and Tom Oomen
In R. Carloni, B. Jayawardhana, and E. Lefeber, editors, 39th Benelux Meeting on Systems and Control, 144, Elspeet, The Netherlands, 2020

79. Optimal experiment design for a wafer stage: A sequential relaxation approach [pdf]

Nic Dirkx, Jeroen van de Wijdeven, and Tom Oomen
In R. Carloni, B. Jayawardhana, and E. Lefeber, editors, 39th Benelux Meeting on Systems and Control, 98, Elspeet, The Netherlands, 2020

78. Gaussian process repetitive control for suppressing spatial disturbances: With application to a substrate carrier system [pdf]

Noud Mooren, Gert Witvoet, and Tom Oomen
In R. Carloni, B. Jayawardhana, and E. Lefeber, editors, 39th Benelux Meeting on Systems and Control, 106, Elspeet, The Netherlands, 2020

77. Nonlinear data-driven identification of thermo-electric systems [pdf]

Jean-Philippe Noël, Enzo Evers, and Tom Oomen
In R. Carloni, B. Jayawardhana, and E. Lefeber, editors, 39th Benelux Meeting on Systems and Control, 100, Elspeet, The Netherlands, 2020

76. Balancing on-sample and intersample behavior in sampled-data system inversion [pdf]

Wataru Ohnishi, Jurgen van Zundert, Hiroshi Fujimoto, and Tom Oomen
In R. Carloni, B. Jayawardhana, and E. Lefeber, editors, 39th Benelux Meeting on Systems and Control, 155, Elspeet, The Netherlands, 2020

75. On the role of models in learning control: Actor-critic iterative learning control [pdf]

Maurice Poot, Jim Portegies, and Tom Oomen
In R. Carloni, B. Jayawardhana, and E. Lefeber, editors, 39th Benelux Meeting on Systems and Control, 155, Elspeet, The Netherlands, 2020

74. Repetitive control to improve pressure tracking performance in mechanical ventilation of sedated patients [pdf]

Joey Reinders, Ruben Verkade, Bram Hunnekens, Nathan van de Wouw, and Tom Oomen
In R. Carloni, B. Jayawardhana, and E. Lefeber, editors, 39th Benelux Meeting on Systems and Control, 108, Elspeet, The Netherlands, 2020

73. Intermittent sampling in iterative learning control: A monotonically-convergent gradient-descent approach with application to time stamping [pdf]

Nard Strijbosch and Tom Oomen
In R. Carloni, B. Jayawardhana, and E. Lefeber, editors, 39th Benelux Meeting on Systems and Control, 98, Elspeet, The Netherlands, 2020

72. Model order selection for robust-control-relevant identification [pdf]

Paul Tacx, Robin de Rozario, and Tom Oomen
In R. Carloni, B. Jayawardhana, and E. Lefeber, editors, 39th Benelux Meeting on Systems and Control, 148, Elspeet, The Netherlands, 2020

71. Data-driven LPV controller synthesis in the frequency-domain [poster]

Tom Bloemers, Tom Oomen, and Roland Tóth
In 28th ERNSI Workshop on System Identification, poster presentation, Maastricht, The Netherlands, 2019

70. Local rational approximation with prescribed poles for improved frequency response function identification [poster]

Enzo Evers, Bram de Jager, and Tom Oomen
In 28th ERNSI Workshop on System Identification, poster presentation, Maastricht, The Netherlands, 2019

69. Numerically optimal identification of complex systems

Tom Oomen
In 28th ERNSI Workshop on System Identification, presentation, Maastricht, The Netherlands, 2019

68. Multi-period repetitive control: Sequential design approach applied to a roll-to-roll industrial printer [pdf]

Lennart Blanken, Sjirk Koekebakker, and Tom Oomen In P. Patrinos, I. Markovsky, W. Michiels, J. Swevers, and S. Waldherr, editors, 38th Benelux Meeting on Systems and Control, 51, Lommel, Belgium, 2019

67. Data-driven LPV synthesis: The FIR controller case [pdf]

Tom Bloemers, Roland Tóth, and Tom Oomen In P. Patrinos, I. Markovsky, W. Michiels, J. Swevers, and S. Waldherr, editors, 38th Benelux Meeting on Systems and Control, 111, Lommel, Belgium, 2019

67. Exploiting directionality in optimal experiment design for multivariable systems [pdf]

Nic Dirkx, Jeroen van de Wijdeven, and Tom Oomen In P. Patrinos, I. Markovsky, W. Michiels, J. Swevers, and S. Waldherr, editors, 38th Benelux Meeting on Systems and Control, 65, Lommel, Belgium, 2019

66. Identifying thermal dynamics for precision motion control [pdf]

Enzo Evers, Bram de Jager, and Tom Oomen In P. Patrinos, I. Markovsky, W. Michiels, J. Swevers, and S. Waldherr, editors, 38th Benelux Meeting on Systems and Control, 109, Lommel, Belgium, 2019

65. Data-driven feedforward control for mechatronic systems: Analysis, new approach and application [pdf]

Noud Mooren, Gert Witvoet, and Tom Oomen In P. Patrinos, I. Markovsky, W. Michiels, J. Swevers, and S. Waldherr, editors, 38th Benelux Meeting on Systems and Control, 54, Lommel, Belgium, 2019

64. Learning control without prior models multi-variable model-free IIC applied to an industrial printer [pdf]

Robin de Rozario and Tom Oomen In P. Patrinos, I. Markovsky, W. Michiels, J. Swevers, and S. Waldherr, editors, 38th Benelux Meeting on Systems and Control, 52, Lommel, Belgium, 2019

63. Beyond time-domain iterative learning control [pdf]

Nard Strijbosch and Tom Oomen In P. Patrinos, I. Markovsky, W. Michiels, J. Swevers, and S. Waldherr, editors, 38th Benelux Meeting on Systems and Control, 53, Lommel, Belgium, 2019

63. Adaptive pressure control applied to mechanically ventilated patients [pdf]

Joey Reinders, Bram Hunnekens, Tom Oomen, and Nathan van de Wouw In P. Patrinos, I. Markovsky, W. Michiels, J. Swevers, and S. Waldherr, editors, 38th Benelux Meeting on Systems and Control, 134, Lommel, Belgium, 2019

62. Kernel-based regression of non-causal systems of inverse model feedforward estimation [poster]

Lennart Blanken and Tom Oomen
In 27th ERNSI Workshop on System Identification, poster presentation, Cambridge, UK, 2018

61. A global approach to frequency response function identification of LPV systems: With application to motion systems [poster]

Robin de Rozario and Tom Oomen
In 27th ERNSI Workshop on System Identification, poster presentation, Cambridge, UK, 2018

60. Advanced identification and control for thermal systems [pdf|poster]

Enzo Evers, Bram de Jager, and Tom Oomen
In DSPE Conference 2018, 143-144, Sint Michielsgestel, The Netherlands, 2018

59. Learning and repetitive control in printing cooperation Océ-TU/e 2010-2018 [pdf]

Sjirk Koekebakker and Tom Oomen
In DSPE Conference 2018, 149-150, Sint Michielsgestel, The Netherlands, 2018

58. Inferential motion control of a wafer stage: From disturbance observers to position-dependency [pdf|poster]

Noud Mooren, Robbert Voorhoeve, Nic Dirkx, Robin de Rozario, and Tom Oomen
In DSPE Conference 2018, 145-146, Sint Michielsgestel, The Netherlands, 2018

58. What does learning control have to offer for your machine? a lot! we will demonstrate it on industrial printers [pdf|poster]

Robin de Rozario, Nard Strijbosch, Lennart Blanken, Sjirk Koekebakker, and Tom Oomen
In DSPE Conference 2018, 141-142, Sint Michielsgestel, The Netherlands, 2018

57. Multirate control for high accuracy and low cost: Dual-stage experiments [pdf|poster]

Jurgen van Zundert, Tom Oomen, Wouter Aangenent, and Maurice Heemels
In DSPE Conference 2018, 123-124, Sint Michielsgestel, The Netherlands, 2018

56. Data-driven inverse-model feedforward control using non-causal rational basis functions [pdf]

Lennart Blanken, Sjirk Koekebakker, and Tom Oomen
In Raffaella Carloni, Dimitri Jeltsema, and Mircea Lazar, editors, 37th Benelux Meeting on Systems and Control, 142, Soesterberg, The Netherlands, 2018

56. Local rational method with prior system knowledge: With application to mechanical and thermal systems [pdf]

Enzo Evers, Bram de Jager, and Tom Oomen
In Raffaella Carloni, Dimitri Jeltsema, and Mircea Lazar, editors, 37th Benelux Meeting on Systems and Control, 21, Soesterberg, The Netherlands, 2018

55. Inferential control of a wafer stage using disturbance observers [pdf]

Noud Mooren, Nic Dirkx, Robbert Voorhoeve, and Tom Oomen
In Raffaella Carloni, Dimitri Jeltsema, and Mircea Lazar, editors, 37th Benelux Meeting on Systems and Control, 138, Soesterberg, The Netherlands, 2018

54. Identification of inverse models for feedforward control: Non-causal basis functions & optimal IV approach [poster]

Lennart Blanken and Tom Oomen
In 26th ERNSI Workshop on System Identification, poster presentation, Lyon, France, 2017

53. Parametrizing mechanical systems using matrix fraction descriptions, With application to spatio-temporal identification [poster]

Robin de Rozario, Robbert Voorhoeve, and Tom Oomen
In 26th ERNSI Workshop on System Identification, poster presentation, Lyon, France, 2017

52. Estimating transmissibility functions in industrial vibration isolation systems by combining floor and shaker excitations [pdf]

Michiel Beijen, Marcel Heertjes, Robbert Voorhoeve, and Tom Oomen
In Paul Van Dooren and Julien Hendrickx, editors, 36th Benelux Meeting on Systems and Control, 70, Spa, Belgium, 2017

51. Design framework for multivariable ILC: (de)centralized design & modeling considerations [pdf]

Lennart Blanken, Sjirk Koekebakker, and Tom Oomen
In Paul Van Dooren and Julien Hendrickx, editors, 36th Benelux Meeting on Systems and Control, 40, Spa, Belgium, 2017

50. Synchronized motion control for overall performance enhancement: A Youla framework applied to a wafer scanner [pdf]

Enzo Evers, Marc van de Wal, and Tom Oomen
In Paul Van Dooren and Julien Hendrickx, editors, 36th Benelux Meeting on Systems and Control, 72, Spa, Belgium, 2017

49. Frequency response function-based iterative control applied to a nanopositioner [pdf]

Robin de Rozario, Andrew Fleming, and Tom Oomen
In Paul Van Dooren and Julien Hendrickx, editors, 36th Benelux Meeting on Systems and Control, 41, Spa, Belgium, 2017

48. Feedforward and learning for LTV systems with application to a position-dependent printer [pdf]

Jurgen van Zundert, Sjirk Koekebakker, and Tom Oomen
In Paul Van Dooren and Julien Hendrickx, editors, 36th Benelux Meeting on Systems and Control, 74, Spa, Belgium, 2017

47. Identifying position-dependent mechanical systems, A physics-based LPV approach, with application to a wafer stage [poster]

Robin de Rozario, Robbert Voorhoeve, Wouter Aangenent, and Tom Oomen
In 25th ERNSI Workshop on System Identification, poster presentation, Cison di Valmarino, Italy, 2016

46. LRM for multivariable and position-dependent mechanical systems [poster]

Robbert Voorhoeve and Tom Oomen
In 25th ERNSI Workshop on System Identification, poster presentation, Cison di Valmarino, Italy, 2016

45. Position-dependent modeling for next-generation motion control of a wafer stage [pdf]

Robin de Rozario, Robbert Voorhoeve, Wouter Aangenent, and Tom Oomen
In DSPE Conference 2016, 135, Sint Michielsgestel, The Netherlands, 2016

44. Beyond traditional sampling strategies for enhanced performance and cost-effectiveness [pdf|poster]

Jurgen van Zundert, Tom Oomen, Dip Goswami, and Maurice Heemels
In DSPE Conference 2016, 127-128, Sint Michielsgestel, The Netherlands, 2016

43. Batch-to-batch rational feedforward tuning: From learning to identification approaches [pdf]

Lennart Blanken, Frank Boeren, Dennis Bruijnen, and Tom Oomen
In Raffaella Carloni, Dimitri Jeltsema, and Mircea Lazar, editors, 35th Benelux Meeting on Systems and Control, 122, Soesterberg, The Netherlands, 2016

42. Identification for control of heavy-duty diesel engines via parametric and local parametric approaches [pdf]

Lars Huijben, Thijs van Keulen, and Tom Oomen
In Raffaella Carloni, Dimitri Jeltsema, and Mircea Lazar, editors, 35th Benelux Meeting on Systems and Control, 51, Soesterberg, The Netherlands, 2016

41. Identifying a C-arc medical X-ray system: A 2D-LRM approach [pdf]

Annemiek van der Maas, Rick van der Maas, Robbert Voorhoeve, and Tom Oomen
In Raffaella Carloni, Dimitri Jeltsema, and Mircea Lazar, editors, 35th Benelux Meeting on Systems and Control, 131, Soesterberg, The Netherlands, 2016

40. Identification of position-dependent mechanical systems [pdf]

Robin de Rozario, Robbert Voorhoeve, Wouter Aangenent, and Tom Oomen
In Raffaella Carloni, Dimitri Jeltsema, and Mircea Lazar, editors, 35th Benelux Meeting on Systems and Control, 112, Soesterberg, The Netherlands, 2016

39. Enhancing performance and cost-effectiveness in motion control via multi-rate sampling [pdf]

Jurgen van Zundert, Tom Oomen, Wouter Aangenent, and W.P.M.H. (Maurice) Heemels
In Raffaella Carloni, Dimitri Jeltsema, and Mircea Lazar, editors, 35th Benelux Meeting on Systems and Control, 123, Soesterberg, The Netherlands, 2016

38. Identification of inverse models for feedforward compensation: An optimal IV approach [poster]

Frank Boeren, Lennart Blanken, and Tom Oomen
In 24th ERNSI Workshop on System Identification, poster presentation, Varberg, Sweden, 2015

37. Identification of complex mechatronic systems [poster]

Robbert Voorhoeve, Annemiek van der Maas, Egon Geerardyn, and Tom Oomen
In 24th ERNSI Workshop on System Identification, poster presentation, Varberg, Sweden, 2015

36. Iterative feedforward control with application to a wafer stage [pdf]

Lennart Blanken, Frank Boeren, Dennis Bruijnen, and Tom Oomen
In Oscar Mauricio Agudelo Manozca, Amélie Chevalier, Bart De Moor, Geert Gins, Clara Ionescu, Filip Logist, Ivan Markovsky, Wim Michiels, Goele Pipeleers, and Wannes Van Loock, editors, 34th Benelux Meeting on Systems and Control, 112, Lommel, Belgium, 2015

35. Identification for control of high-tech motion systems [pdf]

Robbert Voorhoeve and Tom Oomen
In Oscar Mauricio Agudelo Manozca, Amélie Chevalier, Bart De Moor, Geert Gins, Clara Ionescu, Filip Logist, Ivan Markovsky, Wim Michiels, Goele Pipeleers, and Wannes Van Loock, editors, 34th Benelux Meeting on Systems and Control, 48, Lommel, Belgium, 2015

34. Iterative learning control for varying tasks [pdf]

Jurgen van Zundert, Joost Bolder, Sjirk Koekebakker, and Tom Oomen
In Oscar Mauricio Agudelo Manozca, Amélie Chevalier, Bart De Moor, Geert Gins, Clara Ionescu, Filip Logist, Ivan Markovsky, Wim Michiels, Goele Pipeleers, and Wannes Van Loock, editors, 34th Benelux Meeting on Systems and Control, 116, Lommel, Belgium, 2015

33. Advanced feedforward and learning control for high-tech motion systems [poster v1|poster v2]

Joost Bolder, Frank Boeren, Jurgen van Zundert, Tom Oomen, and Maarten Steinbuch
In High Tech Systems Center Kick-off Symposium, poster presentation, Eindhoven, The Netherlands, 2015

32. Identification and control for high tech motion systems [poster v1|poster v2]

Robbert Voorhoeve, Frank Boeren, Tom Oomen, and Maarten Steinbuch
In High Tech Systems Center Kick-off Symposium, poster presentation, Eindhoven, The Netherlands, 2015

31. Data-driven feedforward tuning based on closed-loop identification techniques [pdf|poster]

Frank Boeren and Tom Oomen
In 23th ERNSI Workshop on System Identification, poster presentation, Oostende, Belgium, 2014

30. The local polynomial method for H-infinity norm estimation [pdf|poster]

Egon Geerardyn, Tom Oomen, and Johan Schoukens
In 23th ERNSI Workshop on System Identification, poster presentation, Oostende, Belgium, 2014

29. Numerically reliable identification of complex systems [pdf|poster]

Robbert Voorhoeve, Tom Oomen, and Maarten Steinbuch
In 23th ERNSI Workshop on System Identification, poster presentation, Oostende, Belgium, 2014

28. A unified low-cost framework for general bonding equipment through iterative learning [poster]

Abhishek Bareja, Frank Boeren, Tom Kok, and Tom Oomen
In Proceedings of the 2nd DSPE Conference on Precision Mechatronics, Sint-Michielsgestel, The Netherlands, 2014

27. Advances in optimization-based feedforward tuning [pdf|poster]

Frank Boeren, Dennis Bruijnen, Lennart Blanken, Tom Oomen, and Maarten Steinbuch
In Proceedings of the 2nd DSPE Conference on Precision Mechatronics, 137-138, Sint-Michielsgestel, The Netherlands, 2014

26. Intelligent feedforward: increasing performance and extrapolation capabilities with iterative learning control [pdf|poster]

Joost Bolder, Jurgen van Zundert, Tom Oomen, Sjirk Koekebakker, and Maarten Steinbuch
In Proceedings of the 2nd DSPE Conference on Precision Mechatronics, 127-128, Sint-Michielsgestel, The Netherlands, 2014

25. The local rational method for H-infinity norm estimation [pdf]

Egon Geerardyn, Tom Oomen, and Johan Schoukens
In 2014 DYSCO Study Day, Namur, Belgium, May 16, 2014

24. Iterative feedforward control: Enhanced accuracy and efficiency [pdf]

Frank Boeren, Tom Oomen, Dennis Bruijnen, and Maarten Steinbuch
In Raffaella Carloni, Mircea Lazar, and Ton van den Boom, editors, 33rd Benelux Meeting on Systems and Control, 131, Heijen, The Netherlands, 2014

23. Inferential iterative learning control: Internal stability and performance aspects [pdf]

Joost Bolder, Tom Oomen, Sjirk Koekebakker, and Maarten Steinbuch
In Raffaella Carloni, Mircea Lazar, and Ton van den Boom, editors, 33rd Benelux Meeting on Systems and Control, 52, Heijen, The Netherlands, 2014

22. Estimating the H-infinity norm with the local rational method takes less data [pdf]

Egon Geerardyn, Tom Oomen, and Johan Schoukens
In Raffaella Carloni, Mircea Lazar, and Ton van den Boom, editors, 33rd Benelux Meeting on Systems and Control, 67, Heijen, The Netherlands, 2014

21. Numerically reliable identification of complex systems [pdf]

Robbert Voorhoeve, Tom Oomen, and Maarten Steinbuch
In Raffaella Carloni, Mircea Lazar, and Ton van den Boom, editors, 33rd Benelux Meeting on Systems and Control, 120, Heijen, The Netherlands, 2014

20. The local polynomial method for H-infinity norm estimation [pdf]

Egon Geerardyn, Tom Oomen, and Johan Schoukens
In 22th ERNSI Workshop on System Identification, poster presentation, Nancy, France, 2013

19. Bi-orthonormal basis functions for improved frequency domain identification [pdf]

Tom Oomen and Robbert van Herpen
In 22th ERNSI Workshop on System Identification, poster presentation, Nancy, France, 2013

18. On robust performance for lightly damped systems: Non-normalized coprime factors and weighting function design [pdf]

Frank Boeren, Tom Oomen, Okko Bosgra, Robbert van Herpen, and Maarten Steinbuch
In Michel Kinnaert and Alain Vande Wouwer, editors, 32nd Benelux Meeting on Systems and Control, 31, Houffalize, Belgium, 2013

17. Iterative learning control with rational basis functions [pdf]

Joost Bolder, Tom Oomen, Sjirk Koekebakker, Okko Bosgra, and Maarten Steinbuch
In Michel Kinnaert and Alain Vande Wouwer, editors, 32nd Benelux Meeting on Systems and Control, 58, Houffalize, Belgium, 2013

16. The local polynomial method (LPM) for H-infinity robust control [pdf]

Egon Geerardyn, Tom Oomen, and Johan Schoukens
In Michel Kinnaert and Alain Vande Wouwer, editors, 32nd Benelux Meeting on Systems and Control, 47, Houffalize, Belgium, 2013

15. Multivariable data-driven uncertainty modeling for robust active vibration isolation [pdf]

Rick van der Maas and Tom Oomen
In Michel Kinnaert and Alain Vande Wouwer, editors, 32nd Benelux Meeting on Systems and Control, 21, Houffalize, Belgium, 2013

14. Learning control systems for high performance printing [pdf|poster]

Joost Bolder, Tom Oomen, Sjirk Koekebakker, Okko Bosgra, and Maarten Steinbuch
In Proceedings of the 1st DSPE Conference on Precision Mechatronics, page 111, Deurne, The Netherlands, 2012

13. High-performance motion control of lightweigth systems: Advanced modeling [pdf|poster]

Robbert van Herpen, Tom Oomen, Frank Boeren, Jarno van Wijk, Maarten Steinbuch, and Okko Bosgra
In Proceedings of the 1st DSPE Conference on Precision Mechatronics, Deurne, The Netherlands, 125, 2012

12. Model-based control design for inferential and over-actuated control of lightweight motion systems [pdf]

Frank Boeren, Robbert van Herpen, Tom Oomen, Okko Bosgra, and Marc van de Wal
In Hans Stigter and Ton van den Boom, editors, 31st Benelux Meeting on Systems and Control, page 131, Heijen, The Netherlands, 2012

11. On identification-related uncertainty structures [pdf]

Tom Oomen
In 20th ERNSI Workshop on System Identification, poster presentation, Nice, France, 2011

10. A robust-control-relevant perspective on model order selection [pdf]

Robbert van Herpen, Tom Oomen, and Okko Bosgra
In Jan Swevers, Joos Vandewalle, Jan Van Impe, Ilse Smets, Johan Schoukens, Patrick Guillaume, Robin De Keyser, and Clara Ionescu, editors, 30th Benelux Meeting on Systems and Control, page 38, Lommel, Belgium, 2011

9. On the properties of iterative schemes [pdf]

Tom Oomen, Cristian R. Rojas, Håkan Hjalmarsson, and Bo Wahlberg
In 19th ERNSI Workshop on System Identification, poster presentation, Cambridge, United Kingdom, 2010

8. Towards model order selection in view of robust control for motion systems with dominant flexible dynamics [pdf]

Robbert van Herpen, Tom Oomen, Okko Bosgra, and Marc van de Wal
In Hans Stigter and Gjerrit Meinsma, editors, 29th Benelux Meeting on Systems and Control, 30, Heeze, The Netherlands, 2010

7. Transparently connecting model uncertainty identication and robust control design by adopting a new coordinate frame [pdf]

Tom Oomen and Okko Bosgra
In 18th ERNSI Workshop on System Identification, poster presentation, Stift Vorau, Austria, 2009

6. High performance beyond-rigid-body control of next-generation flexible stages [pdf]

Tom Oomen, Robbert van Herpen, Okko Bosgra, and Marc van de Wal
In Martijn Hamers, editor, Proceedings of the 10th Philips Conference on Applications of Control Technology, pages 135-136, Hilvarenbeek, The Netherlands, 2009

5. Robust beyond-rigid-body control of next generation wafer stages [pdf]

Robbert van Herpen, Tom Oomen, Marc van de Wal, and Okko Bosgra
In Michel Gevers and Rudolphe Sepulchre, editors, 28th Benelux Meeting on Systems and Control, page 152, Spa, Belgium, 2009

4. Dealing with flexible modes in 6 DOFs robust control [pdf]

Tom Oomen and Okko Bosgra
In Jan Swevers, Johan Schoukens, Rik Pintelon, Patrick Guillaume, Jan Van Impe, Ilse Smets, Bram Demeulenaere, and Bart De Moor, editors, 26th Benelux Meeting on Systems and Control, page 24, Lommel, Belgium, 2007

3. Dealing with flexible modes in 6 DOFs robust servo control [pdf]

Tom Oomen and Okko Bosgra
In G. Z. Angelis, editor, Proceedings of the 9th Philips Conference on Applications of Control Technology, pages 133-134, Hilvarenbeek, The Netherlands, 2007

2. Optimal digital control of analog systems [pdf]

Tom Oomen, Marc van de Wal, Okko Bosgra, and Maarten Steinbuch
In L. Catoire and M. Kinnaert, editors, 24th Benelux Meeting on Systems and Control, page 56, Houffalize, Belgium, 2005.

1. The RRR-robot feedback control design via iterative feedback tuning [pdf]

T. A. E. Oomen, D. Kostić, B. de Jager, and M. Steinbuch
In Bram de Jager and Vincent Verdult, editors, 23rd Benelux Meeting on Systems and Control, page 21, Helvoirt, The Netherlands, 2004