6 citations · 9 across the 13 of their papers we have counts for
12 papers · 1 filter
Closed-loop Optimal Fault Detection for Uncertain Systems
Koen Classens, Tjeerd Ickenroth, Jeroen van de Wijdeven +1
Faults compromise the reliability and safety of complex engineering systems. The aim of this article is to address the problem of robust fault detection filter design for continuou…
D-Optimized Sampling Design for System Identification
Enrico Dozzi, Tom Oomen, Rodrigo A. González
Traditional system identification with multisine inputs relies on uniform sampling and periodic excitation to preserve Fourier orthogonality and avoid spectral leakage, limiting it…
Nullspace-based Fault Diagnosis for Closed-Loop Mechatronic Systems with Application to Semiconductor Equipment
Koen Classens, Jeroen van de Wijdeven, Maurice Heemels +1
Fault detection and isolation (FDI) systems are critical for modern mechatronic production equipment, as their continuous operation is heavily dependent on the ability to detect an…
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…
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…
System Identification Beyond the Nyquist Frequency: A Kernel-Regularized Approach
Max van Haren, Roy S. Smith, Tom Oomen
Models that contain intersample behavior are important for control design of systems with slow-rate outputs. The aim of this paper is to develop a system identification technique f…
Lifted Frequency-Domain Identification of Closed-Loop Multirate Systems: Applied to Dual-Stage Actuator Hard Disk Drives
Max van Haren, Masahiro Mae, Lennart Blanken +1
Frequency-domain representations are crucial for the design and performance evaluation of controllers in multirate systems, specifically to address intersample performance. The aim…
Sampling in Parametric and Nonparametric System Identification: Aliasing, Input Conditions, and Consistency
Rodrigo A. González, Max van Haren, Tom Oomen +1
The sampling rate of input and output signals is known to play a critical role in the identification and control of dynamical systems. For slow-sampled continuous-time systems that…
A Frequency-Domain Approach for Enhanced Performance and Task Flexibility in Finite-Time ILC
Max van Haren, Kentaro Tsurumoto, Masahiro Mae +3
Iterative learning control (ILC) is capable of improving the tracking performance of repetitive control systems by utilizing data from past iterations. The aim of this paper is to…