M
Michel Gevers
Researcher at Université catholique de Louvain
Publications - 284
Citations - 11396
Michel Gevers is an academic researcher from Université catholique de Louvain. The author has contributed to research in topics: System identification & Control theory. The author has an hindex of 53, co-authored 282 publications receiving 10778 citations. Previous affiliations of Michel Gevers include Vrije Universiteit Brussel & Catholic University of Leuven.
Papers
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Proceedings ArticleDOI
On iterative feedback tuning for non-minimum phase plants
A. Lecchini,Michel Gevers +1 more
TL;DR: In this article, the authors formulate a new criterion for the iterative feedback tuning (IFT) method, in which some freedom is given to the reference-model in order to let it reproduce the features of the unknown plant (i.e., the delay and non-minimum phase zero) which the controller should not attempt to change.
Journal ArticleDOI
On the identifiability of dynamical networks
TL;DR: A class of networks in which the node signals, assumed measurable, are connected by linear time-invariant transfer functions, and in which a noise signal and/or a known excitation signal may or may not be present at each node is examined.
Book ChapterDOI
Techniques for the Selection of Identifiable Parametrizations for Multivariable Linear Systems
Michel Gevers,Vincent Wertz +1 more
Journal ArticleDOI
Brief Closed-loop identification with an unstable or nonminimum phase controller
TL;DR: It is shown that the internal stability of the resulting model, in closed loop with the same controller, is not always guaranteed if this controller is unstable and/or nonminimum phase, and that the classical closed-loop prediction-error identification methods present different properties regarding this stability issue.
Journal ArticleDOI
Input design: from open-loop to control-oriented design
Michel Gevers,Xavier Bombois +1 more
TL;DR: A review of the evolution of the main tools and results for optimal experiment design for system identification can be found in this article, with a focus on the accuracy of the parameters of the input-output transfer function estimate.