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Max van Meer
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Gaussian processes for advanced motion control
M Poot, J Portegies, N Mooren, M Van Haren, M Van Meer, T Oomen
IEEJ Journal of Industry Applications 11 (3), 396-407, 2022
142022
Optimal commutation for switched reluctance motors using Gaussian process regression
M Van Meer, G Witvoet, T Oomen
IFAC-PapersOnLine 55 (37), 302-307, 2022
62022
Direct data-driven design of LPV controllers with soft performance specifications
M van Meer, V Breschi, T Oomen, S Formentin
Journal of the Franklin Institute 359 (2), 816-836, 2022
42022
Learning nonlinear feedforward: a Gaussian process approach applied to a printer with friction
M van Meer, M Poot, J Portegies, T Oomen
arXiv preprint arXiv:2112.03805, 2021
42021
Compensating torque ripples in a coarse pointing mechanism for free-space optical communication: A Gaussian process repetitive control approach
N Mooren, M van Meer, G Witvoet, T Oomen
Mechatronics 97, 103107, 2024
22024
Nonlinear bayesian identification for motor commutation: Applied to switched reluctance motors
M van Meer, RA González, G Witvoet, T Oomen
2023 62nd IEEE Conference on Decision and Control (CDC), 5494-5499, 2023
22023
Cascaded calibration of mechatronic systems via Bayesian inference
M van Meer, E Deniz, G Witvoet, T Oomen
IFAC-PapersOnLine 56 (2), 3405-3410, 2023
22023
Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach
L Aarnoudse, J Kon, K Classens, M van Meer, M Poot, P Tacx, ...
2022 IEEE 61st Conference on Decision and Control (CDC), 1485-1490, 2022
22022
Gaussian process based feedforward control for nonlinear systems with flexible tasks: With application to a printer with friction
M Van Meer, M Poot, J Portegies, T Oomen
IFAC-PapersOnLine 55 (37), 241-246, 2022
22022
On data-driven design of LPV controllers with flexible reference models
V Breschi, M van Meer, T Oomen, S Formentin
IFAC-PapersOnLine 54 (8), 95-100, 2021
22021
Cross-coupled iterative learning control: A computationally efficient approach applied to an industrial flatbed printer
L Aarnoudse, J Kon, K Classens, M van Meer, M Poot, P Tacx, ...
Mechatronics 99, 103170, 2024
2024
Robust Commutation Design: Applied to Switched Reluctance Motors
M van Meer, G Witvoet, T Oomen
arXiv preprint arXiv:2402.01216, 2024
2024
Identification and Robust Control for Motor Commutation
M van Meer, G Witvoet, TAE Oomen
5th DSPE Conference on Precision Mechatronics, 2023
2023
Identification, Calibration and Control for Motor Commutation
M van Meer, G Witvoet, TAE Oomen, MJ van Haren
First JSPS-NWO Seminar Research Network on Learning in Machines: New …, 2023
2023
Next-Generation Opto-mechatronic systems: control for free-space optical communication
G Witvoet, MR van Dael, RR Geraldes, M van Meer, N Mooren, P Tacx, ...
First JSPS-NWO Seminar Research Network on Learning in Machines: New …, 2023
2023
Learning in Machines: From Data to Models, Control Performance, and Monitoring
TAE Oomen, LIM Aarnoudse, LLG Blanken, KHJ Classens, MR van Dael, ...
First JSPS-NWO Seminar Research Network on Learning in Machines: New …, 2023
2023
Improving position sensor calibration via Bayesian inference
M van Meer, E Deniz, G Witvoet, T Oomen
42nd Benelux Meeting on Systems and Control 2023, 2023
2023
Reducing torque ripple and power consumption in Switched Reluctance Motors: a systematic approach to commutation function design
M van Meer, G Witvoet, T Oomen
2nd Euspen Special Interest Group Meeting on Precision Motion Systems & Control, 2022
2022
Nonlinear feedforward control for a class of tasks: A Gaussian Process approach applied to a printer
M van Meer, M Poot, J Portegies, T Oomen
41st Benelux Meeting on Systems and Control 2022, 2022
2022
Gaussian Process Modeling for Non-Linear Feedforward Control with Task Flexibility
M van Meer
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