4 citations · 7 across the 14 of their papers we have counts for
14 papers
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…
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…
Finite Sample MIMO System Identification with Multisine Excitation: Nonparametric, Direct, and Two-step Parametric Estimators
Rodrigo A. González, Koen Classens, Cristian R. Rojas +2
Multisine excitations are widely used for identifying multi-input multi-output systems due to their periodicity, data compression properties, and control over the input spectrum. D…
Structured identification of multivariable modal systems
Maarten van der Hulst, Rodrigo A. González, Koen Classens +4
Physically interpretable models are essential for next-generation industrial systems, as these representations enable effective control, support design validation, and provide a fo…
Statistically Optimal Structured Additive MIMO Continuous-time System Identification
Rodrigo A. González, Maarten van der Hulst, Koen Classens +1
Many applications in mechanical, acoustic, and electronic engineering require estimating complex dynamical models, often represented as additive multi-input multi-output (MIMO) tra…
Recursive Identification of Structured Systems: An Instrumental-Variable Approach Applied to Mechanical Systems
Koen Classens, Rodrigo A. González, Tom Oomen
Online system identification algorithms are widely used for monitoring, diagnostics and control by continuously adapting to time-varying dynamics. Typically, these algorithms consi…
Identification of additive multivariable continuous-time systems
Maarten van der Hulst, Rodrigo González, Koen Classens +3
Multivariable parametric models are critical for designing, controlling, and optimizing the performance of engineered systems. The main aim of this paper is to develop a parametric…
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…
Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-time System Identification
Rodrigo A. González, Koen Classens, Cristian R. Rojas +2
Block coordinate descent is an optimization technique that is used for estimating multi-input single-output (MISO) continuous-time models, as well as single-input single output (SI…
Identification of Additive Continuous-time Systems in Open and Closed loop
Rodrigo A. González, Koen Classens, Cristian R. Rojas +2
When identifying electrical, mechanical, or biological systems, parametric continuous-time identification methods can lead to interpretable and parsimonious models when the model s…
Direct Shaping of Minimum and Maximum Singular Values: An Synthesis Approach for Fault Detection Filters
Koen Classens, W. P. M. H. Heemels, Tom Oomen
The performance of fault detection filters relies on a high sensitivity to faults and a low sensitivity to disturbances. The aim of this paper is to develop an approach to directly…
Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach
Leontine Aarnoudse, Johan Kon, Koen Classens +5
Cross-coupled iterative learning control (ILC) can achieve high performance for manufacturing applications in which tracking a contour is essential for the quality of a product. Th…
Feedback linearisation of mechanical systems using data-driven models
Merijn Floren, Koen Classens, Tom Oomen +1
Linearising the dynamics of nonlinear mechanical systems is an important and open research area. A common approach is feedback linearisation, which is a nonlinear control method th…