109 citations · 955 across the 41 of their papers we have counts for
7 papers · 1 filter
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…
Wiener system identification with generalized orthonormal basis functions
Koen Tiels, Johan Schoukens
Many nonlinear systems can be described by a Wiener-Schetzen model. In this model, the linear dynamics are formulated in terms of orthonormal basis functions (OBFs). The nonlineari…
Grey-box nonlinear state-space modelling for mechanical vibrations identification
Jean-Philippe Noël, Johan Schoukens, Gaetan Kerschen
In the present paper, a flexible and parsimonious model of the vibrations of nonlinear mechanical systems is introduced in the form of state-space equations. It is shown that the n…
A nonlinear state-space approach to hysteresis identification
Jean-Philippe Noël, Alireza F. Esfahani, Gaetan Kerschen +1
Most studies tackling hysteresis identification in the technical literature follow white-box approaches, i.e. they rely on the assumption that measured data obey a specific hystere…
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…
Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels
Philippe Dreesen, David Westwick, Johan Schoukens +1
Providing flexibility and user-interpretability in nonlinear system identification can be achieved by means of block-oriented methods. One of such block-oriented system structures…
Weighted tensor decomposition for approximate decoupling of multivariate polynomials
Gabriel Hollander, Philippe Dreesen, Mariya Ishteva +1
Multivariate polynomials arise in many different disciplines. Representing such a polynomial as a vector of univariate polynomials can offer useful insight, as well as more intuiti…