3 papers
eess.SY2025
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…
eess.SY2025
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…
eess.SY2025
A Direct State-Space Realization of Discrete-Time Linear Parameter-Varying Input-Output Models
Johan Kon, Roland Tóth, Jeroen van de Wijdeven +2
A minimal state-space (SS) realization of an identified linear parameter-varying (LPV) input-output (IO) model usually introduces dynamic and nonlinear dependency of the state-spac…