most citedStructured identification of multivariable modal systems

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

eess.SY2026

Sparse add-on controller design: A Youla approach to system-level performance

M. van der Hulst, N. Dirkx, R. A. González +3

The performance of high-tech systems is often dictated by a few performance objectives shared among the many closed-loop controlled subsystems operating in the machine, such as syn…

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.SY20261 cited

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.SP2025

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…

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…