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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Journal ArticleDOI
On the Problem of Structure Selection for the Identification of Stationary Stochastic Processes
Michel Gevers,Vincent Wertz +1 more
TL;DR: In this article, the determinant of the Fisher information matrix is defined by a finite set of intrinsic invariants, and it is shown that these invariants give the same value to the Fisher Information matrix.
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Discarding data may help in system identification
TL;DR: Using singular value decomposition (SVD) techniques, it is shown that in noise undermodeling situations, the remaining data may introduce large bias on the model parameters with a possible increase of their total mean square error.
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Optimal point-wise discrete control and controllers' allocation strategies for stochastic distributed systems
TL;DR: The design of point-wise discrete controllers for a class of stochastic distributed-parameter systems is considered and the optimal feedback control is derived using a direct approach in which the infinite dimensional space is approximated using a set of orthonormal functions.
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D-optimal input design for nonlinear FIR-type systems
TL;DR: In this work a D-optimal input design method for finite-impulse-response-type nonlinear systems is presented and the computational speed of the algorithm is compared with the general convex optimizer cvx.
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Constant, predictable and degenerate directions of the discrete-time riccati equation
Michel Gevers,Thomas Kailath +1 more
TL;DR: In this article, the authors introduced the concept of predictable directions along which the solution goes to zero rather than a nonzero constant, and showed how to convert constant directions to predictable directions and how the concept may be extended to time-variant systems.