activity
20172020
most citedLinear System Identification in a Nonlinear Setting - Nonparametric analysis of the nonlinear distortions and their impact on the best linear approximation

109 citations · 209 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2020★ 4 cited

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…

eess.SY2018★ 36 cited

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…

eess.SY2018★ 109 cited

Linear System Identification in a Nonlinear Setting - Nonparametric analysis of the nonlinear distortions and their impact on the best linear approximation

Johan Schoukens, Mark Vaes, Rik Pintelon

This article addresses the following problems: 1) First, a nonlinearity analysis is made looking for the presence of nonlinearities in an early phase of the identification process.…

eess.SY2018★ 13 cited

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…

eess.SY2017★ 47 cited

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…