237 citations · 445 across the 12 of their papers we have counts for
13 papers
Least Costly Space-Filling Experiment Design for the Identification of a Nonlinear System
Máté Kiss, Maarten Schoukens, Roland Tóth
The quality of an estimated nonlinear model highly depends on the data quality that was used for the system identification. By using a Gaussian Process-based optimal input design a…
Identification of Port-Hamiltonian Differential-Algebraic Equations from Input-Output Data
N. Hagelaars, G. J. E. van Otterdijk, S. Moradi +3
Many models of physical systems, such as mechanical and electrical networks, exhibit algebraic constraints that arise from subsystem interconnections and underlying physical laws.…
Best Linear Approximation of Nonlinear Continuous-Time Systems Subject to Process Noise and Operating in Feedback
Rik Pintelon, Maarten Schoukens, John Lataire
In many engineering applications the level of nonlinear distortions in frequency response function (FRF) measurements is quantified using specially designed periodic excitation sig…
Structure detection of Wiener-Hammerstein systems with process noise
Erliang Zhang, Maarten Schoukens, Johan Schoukens
Identification of nonlinear block-oriented models has been extensively studied. The presence of the process noise, more precisely its location in the block-oriented model influence…
Structure Discrimination in Block-Oriented Models Using Linear Approximations: A Theoretic Framework
Johan Schoukens, Rik Pintelon, Yves Rolain +5
In this paper we show that it is possible to retrieve structural information about complex block-oriented nonlinear systems, starting from linear approximations of the nonlinear sy…
Extending the Best Linear Approximation Framework to the Process Noise Case
Maarten Schoukens, Rik Pintelon, Tadeusz P. Dobrowiecki +1
The Best Linear Approximation (BLA) framework has already proven to be a valuable tool to analyze nonlinear systems and to start the nonlinear modeling process. The existing BLA fr…
Comparison of several data-driven nonlinear system identification methods on a simplified glucoregulatory system example
Anna Marconato, Maarten Schoukens, Koen Tiels +3
In this paper, several advanced data-driven nonlinear identification techniques are compared on a specific problem: a simplified glucoregulatory system modeling example. This probl…
Fast Identification of Wiener-Hammerstein Systems using Discrete Optimization
M. Schoukens, G. Vandersteen, Y. Rolain +1
This letter proposes a fast identification algorithm for Wiener-Hammerstein systems. The computational cost of separating the front and the back linear time invariant block dynamic…
Parametric identification of parallel Wiener-Hammerstein systems
Maarten Schoukens, Anna Marconato, Rik Pintelon +2
Block-oriented nonlinear models are popular in nonlinear modeling because of their advantages to be quite simple to understand and easy to use. To increase the flexibility of singl…
Initial estimates for Wiener-Hammerstein models using phase-coupled multisines
Koen Tiels, Maarten Schoukens, Johan Schoukens
Block-oriented models are often used to model nonlinear systems. These models consist of linear dynamic (L) and nonlinear static (N) sub-blocks. This paper addresses the generation…
Filter-based regularisation for impulse response modelling
Anna Marconato, Maarten Schoukens, Johan Schoukens
In the last years, the success of kernel-based regularisation techniques in solving impulse response modelling tasks has revived the interest on linear system identification. In th…
Identification of block-oriented nonlinear systems starting from linear approximations: A survey
Maarten Schoukens, Koen Tiels
Block-oriented nonlinear models are popular in nonlinear system identification because of their advantages of being simple to understand and easy to use. Many different identificat…
Obtaining the Pre-Inverse of a Power Amplifier using Iterative Learning Control
Maarten Schoukens, Jules Hammenecker, Adam Cooman
Telecommunication networks make extensive use of power amplifiers to broaden the coverage from transmitter to receiver. Achieving high power efficiency is challenging and comes at…