43 citations
- Eindhoven University of TechnologyNL7 papers
- Max Planck Institute for Dynamics and Self-OrganizationDE5 papers
- Max Planck University of Twente Center for Complex Fluid DynamicsNL4 papers
- ASML (Netherlands)NL2 papers
- Delft University of TechnologyNL2 papers
- Centre National de la Recherche ScientifiqueFR1 paper
- ETH ZurichCH1 paper
- IBS Precision Engineering (Netherlands)NL1 paper
- Institut Jean Le Rond d'AlembertFR1 paper
- Istituto per le Applicazioni del Calcolo Mauro PiconeIT1 paper
- NXP (Netherlands)NL1 paper
- Philips (Netherlands)NL1 paper
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eess.SY2023★ 2 cited
Physics-guided neural networks for inversion-based feedforward control applied to hybrid stepper motors
Daiwei Fan, Max Bolderman, Sjirk Koekebakker +2
Rotary motors, such as hybrid stepper motors (HSMs), are widely used in industries varying from printing applications to robotics. The increasing need for productivity and efficien…
eess.SY2023★ 34 cited
Physics-guided neural networks for feedforward control with input-to-state stability guarantees
Max Bolderman, Hans Butler, Sjirk Koekebakker +5
The increasing demand on precision and throughput within high-precision mechatronics industries requires a new generation of feedforward controllers with higher accuracy than exist…
eess.SY2021★ 2 cited
Intermittent Sampling in Repetitive Control: Exploiting Time-Varying Measurements
Johan Kon, Nard Strijbosch, Sjirk Koekebakker +1
The performance increase up to the sensor resolution in repetitive control (RC) invalidates the standard assumption in RC that data is available at equidistant time instances, e.g.…