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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.

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Proceedings ArticleDOI

Control oriented low order modelling of a complex PWR plant: a comparison between open loop and closed loop methods

TL;DR: The validity of this alternative route for the design of a controller for the secondary circuit of a nuclear pressurized water reactor is illustrated and it is shown that the key feature for a successful control design is not so much the choice between order reduction or identification methods, but between open loop and closed loop techniques.
Proceedings ArticleDOI

Controller validation for a validated model set

TL;DR: This paper focuses on the validation of a controller designed from a model validated in an ellipsoidal uncertainty set embedded in a coprime factor uncertainty set in order to use the results of mainstream robust control theory such as the Vinnicombe gap between plants and the related stability theorems.
Journal ArticleDOI

An Expert System for System Identification

TL;DR: Some simulations on data from industrial processes have shown that the expert system behaves just as well as human experts while on simulated noisy data, it finds the true model in the class of ARX or ARARX models that was used to produce them.
Journal ArticleDOI

Stable Adaptive Observers for Nonlinear Time-varying Systems

TL;DR: In this paper, an adaptive observer/identifier for single input single output observable nonlinear systems that can be transformed to a certain observable canonical form is presented, and sufficient conditions for stability of this observer are provided in terms of the structure of the system and its canonical form, the boundedness of the parameter variations and the sufficient richness of some signals.
Posted Content

Identifiability of dynamical networks with partial node measurements

TL;DR: This paper presents the first results for the situation where not all node signals are measurable, under the assumptions that, first, the topology of the network is known, and, second, each node is excited by a known external excitation.