34 citations · 53 across the 14 of their papers we have counts for
5 papers · 1 filter
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…
Physics-guided neural networks for feedforward control: From consistent identification to feedforward controller design
Max Bolderman, Mircea Lazar, Hans Butler
Model-based feedforward control improves tracking performance of motion systems, provided that the model describing the inverse dynamics is of sufficient accuracy. Model sets, such…
LPV sequential loop closing for high-precision motion systems
Yorick Broens, Hans Butler, Roland Tóth
Increasingly stringent throughput requirements in the industry necessitate the need for lightweight design of high-precision motion systems to allow for high accelerations, while s…
On discretization of continuous-time LPV control solutions
Yorick Broens, Hans Butler, Roland Tóth
In recent years, the Linear Parameter-Varying (LPV) framework has become increasingly useful for analysis and control of time-varying systems. Generally, LPV control synthesis is p…
On feedforward control using physics-guided neural networks: Training cost regularization and optimized initialization
Max Bolderman, Mircea Lazar, Hans Butler
Performance of model-based feedforward controllers is typically limited by the accuracy of the inverse system dynamics model. Physics-guided neural networks (PGNN), where a known p…