1 citations · 2 across the 8 of their papers we have counts for
9 papers
Event-Triggered Data Selection for Online Frequency-Domain Identification
Enrico Dozzi, Tom Oomen, Rodrigo González
Online identification of frequency response functions is increasingly relevant for control and monitoring of high-performance systems whose dynamics may change during operation. In…
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…
Scaled Relative Graphs and Dynamic Integral Quadratic Constraints: Connections and Computations for Nonlinear Systems
Timo de Groot, Tom Oomen, W. P. M. H. Heemels +1
Scaled relative graphs (SRGs) enable graphical analysis and design of nonlinear systems. In this paper, we present a systematic approach for computing both soft and hard SRGs of no…
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…
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…
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…
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…
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…
Unconstrained Parameterization of Stable LPV Input-Output Models: with Application to System Identification
Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen +3
Ensuring stability of discrete-time (DT) linear parameter-varying (LPV) input-output (IO) models estimated via system identification methods is a challenging problem as known stabi…