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20242026
most citedStructured identification of multivariable modal systems

1 citations · 2 across the 8 of their papers we have counts for

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eess.SY2025★ 1 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.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.SP2025★ 1 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.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…