2 papers
eess.SY2026
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…