activity
20232025
most citedIdentification of additive multivariable continuous-time systems

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2025

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…

eess.SY2025

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…

eess.SP20251 cited

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.SY2024

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…

eess.SY2023

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…