Former Doctoral Candidate
Maurice Poot
Department / Institute
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RESEARCH PROFILE
Since my bachelor ME at the TU/e, I’ve been fascinated by control and the applications of it, which let me pursue a masters in Systems & Control. In my master thesis, I explored the field of reinforcement learning to develop a model-free learning technique for learning feedforward signals using basis functions. I’m very excited to continue research on learning control in collaboration with ASMPT to cope with machine-to-machine differences, multivariable systems, and unmeasured performance variables in back-end semiconductor machines.
Recent Publications
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Gaussian Processes for Learning in Motion Control
(2024) -
Cross-Coupled Iterative Learning Control
Mechatronics (2024) -
Control-relevant neural networks for feedforward control with preview
IFAC Journal of Systems and Control (2024) -
Rational Basis Functions in Iterative Learning Control for Multivariable Systems
(2024) -
Feedforward Control in the Presence of Input Nonlinearities
IFAC-PapersOnLine (2023)
Current Educational Activities
Ancillary Activities
No ancillary activities