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Online continuous time system identification ...
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Document type :
Article dans une revue scientifique
DOI :
10.1002/acs.3497
Title :
Online continuous time system identification in the presence of impulsive terms
Author(s) :
Belkoura, Lotfi [Auteur] refId
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Journal title :
International Journal of Adaptive Control and Signal Processing
Publisher :
Wiley
Publication date :
2022
ISSN :
0890-6327
English keyword(s) :
continuous time system identification
distribution theory
impulsive models
HAL domain(s) :
Informatique [cs]/Automatique
English abstract : [en]
Online parameters estimation algorithms are proposed for continuous time systemssubject to structured perturbations. Using a distribution framework, amatrix pencil structure, whose polynomial order is characterized by the ...
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Online parameters estimation algorithms are proposed for continuous time systemssubject to structured perturbations. Using a distribution framework, amatrix pencil structure, whose polynomial order is characterized by the natureof the singularities describing the impulsive effects, is proposed for themodelingof perturbed systems with different disturbance types. Then, using an appropriateprojection subspace, the rectangular pencils are reformulated as squaregeneralized eigenvalue problems subject to linear constraints, from whichunperturbed regression are derived. This approach allows for the implementationof recursive estimation schemes, free of penalty terms. An identifiabilityanalysis is also conducted, and theoretical results are illustratedwith experimentaland simulated data.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
Harvested from HAL
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