Doctoral Candidate

Chris Verhoek

Contact
c.verhoek@tue.nl Flux 5.076
Department / Institute
Electrical Engineering
Group
Machine Learning for Modelling and Control
Control Systems

RESEARCH PROFILE

Chris Verhoek is a Doctoral Candidate at the Control Systems (CS) Group at the Department of Electrical Engineering. His current research is on Learning-Based Control with Stability and Performance Guarantees, under the supervision of Professor Roland Tóth in the AI4GNC (Artificial intelligence techniques for GNC design, implementation, and verification) project in cooperation with SENER and the OSIP (Open Space Innovation Platform) project in cooperation with the European Space Agency (ESA). His main research interests include analysis and control of nonlinear and LPV systems, optimal and nonlinear control, and learning-for-control techniques.

ACADEMIC BACKGROUND

Chris Verhoek obtained his BSc degree in Mechatronics from the Avans University of Applied Sciences Breda in 2017, and his MSc degree in Systems and Control from the Eindhoven University of Technology (TU/e), cum laude, in 2020. During his MSc research, he worked on incremental dissipativity analysis and control of nonlinear systems and on a performance shaping framework for nonlinear systems. His MSc research was carried out in the Control Systems group at the TU/e, under supervision of Professor Roland Tóth. After his MSc graduation he worked for 5 months as a University Researcher in the Control Systems Group at Eindhoven University of Technology, prior to his PhD trajectory that started in February 2021.

Recent Publications

Current Educational Activities

Ancillary Activities

No ancillary activities