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A. Van Mulders
Researcher at Vrije Universiteit Brussel
Publications - 7
Citations - 98
A. Van Mulders is an academic researcher from Vrije Universiteit Brussel. The author has contributed to research in topics: Nonlinear system & Linear model. The author has an hindex of 4, co-authored 7 publications receiving 87 citations. Previous affiliations of A. Van Mulders include VU University Amsterdam.
Papers
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Journal ArticleDOI
Nonlinear system-identification of the filling phase of a wet-clutch system
TL;DR: In this article, the relationship between the applied input current signal and resulting output pressure in the filling phase of the clutch is established based on bandlimited periodic signals applied at different current operating points and signals approximating the desired filling current signal.
Proceedings ArticleDOI
System identification in a real world
Joannes Schoukens,Anna Marconato,Rik Pintelon,Yves Rolain,Maarten Schoukens,Koen Tiels,Laurent Vanbeylen,Gerd Vandersteen,A. Van Mulders +8 more
TL;DR: This paper discusses both options for identification of linear models in the presence of nonlinear distortions, including the generation of error bounds, and a double approach is proposed, using either unstructured nonlinear state space models, or highly structured block oriented nonlinear models.
Proceedings ArticleDOI
Identification of a block-structured model with several sources of nonlinearity
TL;DR: This paper focuses on a state-space based approach for the identification of a rather general nonlinear block-structured model that has several Single-Input Single-Output static polynomial nonlinearities connected to a Multiple-Input Multiple-Output (MIMO) dynamic part.
Proceedings ArticleDOI
Model based nonlinear iterative learning control: A constrained Gauss-Newton approach
TL;DR: In this paper, a nonlinear iterative learning control (ILC) algorithm is proposed to solve the model inversion problem, which consists of finding the input signal corresponding to a given output signal.
Journal ArticleDOI
Identification of a Block-Structured Model with Localised Nonlinearity
TL;DR: In this article, the identification of a general nonlinear time-invariant system, consisting of a multiple-input multiple-output (MIMO) linear dynamic part and one static nonlinear part, is considered.