Team

Visitors

• Zhihe Zhang (Jiangnan University)

• Edoardo Catenaro (Politecnico of Milan)

Active Researchers

• Lennart Blanken (part-time assistant professor, main affiliation Sioux Mechatronics)

• Rodrigo González (postdoc)

• Koen Tiels (assistant professor)

• Gert Witvoet (part-time assistant professor, main affiliation TNO Delft)

Active Ph.D. Students

• Leontine Aarnoudse

• Tom Bloemers (EE-CS, TUE), Data-Driven Linear Parameter-Varying Control: A Frequency-Domain Approach, Defense date March 3, 2023

• Lotfi Chaouach (DCSC, TUD)

• Koen Classens

• Rogier Dinkla (DCSC, TUD)

• Nic Dirkx (ASML)

• Raphaël Goetz (D&C, TUE)

• Max van Haren

• Lars van de Kamp (D&C, TUE)

• Johan Kon

• Max van Meer

• Mathyn van Dael

• Maurice Poot

• Paul Tacx

Former Researchers

• Kentaro Tsurumoto (visiting PhD candidate from The University of Tokyo)

• Masahiro Mae (visiting PhD candidate from The University of Tokyo)

• Jean-Philippe Noël (postdoctoral researcher, 2019-2020)

• Enzo Evers

• Wataru Ohnishi (visiting professor, University of Tokyo, 2020)

• Mirko Mazzoleni (visiting professor, University of Bergamo, Q1 2020)

• Robbert Voorhoeve, 2018-2019

• Dieter Verbeke, Visiting Ph.D. candidate from Vrije Universiteit Brussel, Q4, 2016

Former Ph.D. Students

• Noud Mooren, Thesis: “Intelligent Mechatronics through Learning: From Gaussian Processes to Repetitive Control and Adaptive Feedforward”, defense date May 12, 2022, supported by I-mech

• Nard Strijbosch, Thesis: “Learning and Feedforward Control for Unconventional Sampling and Actuation”, defense date March 18, 2022, supported by NWO Vidi

• Joey Reinders, Thesis: “Smart Mechanical Ventilators: Learning for Monitoring and Control”, defense date February 2, 2022, supported by Macawi/Demcon

• Enzo Evers, Thesis: Identification and Active Thermomechanical Control in Precision Mechatronics, Defense date January 7, 2021

• Robin de Rozario, Thesis: Data-Driven Learning Control for Complex Multivariable and Linear Parameter-Varying Systems, Defense date April 28, 2020

• Lennart Blanken, Thesis: Learning and Repetitive Control for Complex Systems - With Application to Large-Format Printers, Defense date May 21, 2019

• Jurgen van Zundert, Thesis: Resource-Aware Motion Control: Feedforward, Learning, and Feedback, Defense date November 28, 2018

• Robbert Voorhoeve, Thesis: Identification for Advanced Motion Control - Numerically Reliable Algorithms for Complex Systems, Defense date October 22, 2018, propositions available here

• Frank Boeren, Thesis: System Identification for Feedforward and Feedback Control: With Application to Semiconductor Manufacturing, Defense date October 3, 2016, supported by Philips Innovation Services

• Egon Geerardyn, Thesis: Development of User-Friendly System Identification Techniques, private defense date June 16, 2016, public defense date August 26, 2016, Vrije Universiteit Brussel, Belgium

• Joost Bolder, Thesis: Flexibility and Robustness in Iterative Learning Control: With Applications to Industrial Printers, defense date September 2, 2015, supported by Océ

• Robbert van Herpen, Thesis: “Identification for Control of Complex Motion Systems: Optimal Numerical Conditioning using Data-Dependent Polynomial Bases”, defense date January 27, 2014, supported by ASML Research, now at LIME