106 citations
- Eindhoven University of TechnologyNL18 papers
- University of TwenteNL12 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- University of AmsterdamNL6 papers
- Advanced Research Center for Nanolithography (Netherlands)NL5 papers
- Radboud University NijmegenNL5 papers
- Delft University of TechnologyNL4 papers
- Institute of SpectroscopyRU4 papers
- University of GroningenNL4 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR3 papers
- Commonwealth Scientific and Industrial Research OrganisationAU3 papers
- Helmholtz Institute MainzDE3 papers
8 papers · 1 filter
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…
Data-driven feedforward control design for nonlinear systems: A control-oriented system identification approach
Max Bolderman, Mircea Lazar, Hans Butler
Feedforward controllers typically rely on accurately identified inverse models of the system dynamics to achieve high reference tracking performance. However, the impact of the (in…
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…
Unifying Model-Based and Neural Network Feedforward: Physics-Guided Neural Networks with Linear Autoregressive Dynamics
Johan Kon, Dennis Bruijnen, Jeroen van de Wijdeven +2
Unknown nonlinear dynamics often limit the tracking performance of feedforward control. The aim of this paper is to develop a feedforward control framework that can compensate thes…
On modal observers for beyond rigid body control in high-precision mechatronics
Yorick Broens, Hans Butler, Roland Tóth
The ever increasing need for performance results in increasingly rigorous demands on throughput and positioning accuracy of high-precision motion systems, which often suffer from p…
Neural Network Training Using Closed-Loop Data: Hazards and an Instrumental Variable (IVNN) Solution
Johan Kon, Marcel Heertjes, Tom Oomen
An increasing trend in the use of neural networks in control systems is being observed. The aim of this paper is to reveal that the straightforward application of learning neural n…