Guilia Sonzogni (visiting PhD candidate from University of Bergamo)
Deokjin Lee (visiting PhD candidate from DGIST, Korea)
Lennart Blanken (part-time assistant professor, main affiliation Sioux Mechatronics)
Koen Classens (postdoctoral researcher)
Sebastiaan van den Eijnden (assistant professor)
Rodrigo González (assistant professor)
Paul Tacx (postdoctoral researcher)
Koen Tiels (university lecturer)
Gert Witvoet (part-time associate professor, main affiliation TNO Delft)
Abdullah Habboush (D&C, TUE)
Lotfi Chaouach (DCSC, TUD)
Rogier Dinkla (DCSC, TUD)
Raphaël Goetz (D&C, TUE)
Max van Haren
Tjeerd Ickenroth
Lars van de Kamp (D&C, TUE)
Johan Kon
Max van Meer
Mathyn van Dael
Zhihe Zhuang (Jiangnan University)
Hanul Jung (visiting PhD candidate from DGIST, Korea)
Edoardo Catenaro (visiting PhD candidate from Politecnico of Milan)
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)
Isaac Spiegel (visiting PhD candidate from The University of Michigan)
Robbert Voorhoeve, 2018-2019
Dieter Verbeke, Visiting Ph.D. candidate from Vrije Universiteit Brussel, Q4, 2016
Koen Classens, Thesis: “Fault diagnosis for uncertain systems in closed loop: Applied to semiconductor equipment”, defense date October 4, 2024
Paul Tacx, Thesis: “Identification and control of overactuated mechatronic systems”, defense date September 18, 2024
Maurice Poot, Thesis: “Gaussian processes for learning in motion control: Applied to semiconductor back-end machines”, defense date July 3, 2024
Leontine Aarnoudse, Thesis: “Data-driven randomized and nonlinear learning for control”, defense date June 19, 2024
Nic Dirkx (ASML), Thesis: Wafer stage motion control: From experiment design to robust performance, Defense date October 6, 2023
Tom Bloemers (EE-CS, TUE), Data-Driven Linear Parameter-Varying Control: A Frequency-Domain Approach, Defense date March 3, 2023
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