Doctoral Candidate
Maurice Poot
Department / Institute
Mechanical Engineering
Group
Group Oomen

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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Cross-coupled iterative learning control for complex systems
(2023) -
Data-driven compensation of unmodeled dynamics for complex mechatronic systems
2nd Euspen Special Interest Group Meeting on Precision Motion Systems & Control (2022) -
Data-driven compensation of unmodeled dynamics for complex mechatronic systems
2nd Euspen Special Interest Group Meeting on Precision Motion Systems & Control (2022) -
Feedforward control in the presence of input nonlinearities
IFAC-PapersOnLine (2022) -
Gaussian process based feedforward control for nonlinear systems with flexible tasks: With application to a printer with friction
IFAC-PapersOnLine (2022)
Current Educational Activities
Ancillary Activities
- Begeleider bij cursussen van Mechatronics Academy, Mechatronics Academy