collaborators

11 papers

eess.SY2026

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…

eess.SY2026

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…

eess.SY2026

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…

eess.SY2025

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…

eess.SY2025

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…

eess.SY2025

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…