8 papers
Automatic Basis Function Selection in Iterative Learning Control: A Sparsity-Promoting Approach Applied to an Industrial Printer
Tjeerd Ickenroth, Max van Haren, Johan Kon +3
Iterative learning control (ILC) techniques are capable of improving the tracking performance of control systems that repeatedly perform similar tasks by utilizing data from past i…
GraFIT: A toolbox for fast and accurate frequency response identification in Gravitational Wave Detectors
Mathyn van Dael, Max van Haren, Gert Witvoet +2
Frequency response function (FRF) measurements are widely used in Gravitational Wave (GW) detectors, e.g., for the design of controllers, calibrating signals and diagnostic problem…
Frequency domain identification for multivariable motion control systems: Applied to a prototype wafer stage
M. van der Hulst, R. A. González, K. Classens +4
Multivariable parametric models are essential for optimizing the performance of high-tech systems. The main objective of this paper is to develop an identification strategy that pr…
Local Rational Modeling for Identification Beyond the Nyquist Frequency: Applied to a Prototype Wafer Stage
Max van Haren, Lennart Blanken, Koen Classens +1
Fast-rate models are essential for control design, specifically to address intersample behavior. The aim of this paper is to develop a frequency-domain non-parametric identificatio…
Performance Analysis of Multirate Systems: A Direct Frequency-Domain Identification Approach
Max van Haren, Lennart Blanken, Tom Oomen
Frequency-domain performance analysis of intersample behavior in sampled-data and multirate systems is challenging due to the lack of a frequency-separation principle, and systemat…
Parameter-Varying Feedforward Control: A Kernel-Based Learning Approach
Max van Haren, Lennart Blanken, Tom Oomen
The increasing demands for high accuracy in mechatronic systems necessitate the incorporation of parameter variations in feedforward control. The aim of this paper is to develop a…