237 citations · 445 across the 12 of their papers we have counts for
5 papers · 1 filter
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…