4 citations · 7 across the 14 of their papers we have counts for
5 papers · 2 filters
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…
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…