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Strange attractor identification and state observation under sparse measurements

Yassine Khaled 1, 2 Jean-Pierre Barbot 3, 4 Djamila Benmerzouk 5 Krishna Busawon 6 Ghanes Malek 1 
3 NON-A - Non-Asymptotic estimation for online systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
4 ECS-Lab
ECS-Lab - Électronique et Commande des Systèmes Laboratoire
5 Departement de Mathématique
Département de Mathematiques [Tlemcen]
Abstract : In this paper, a new method of strange attractor identification, under sparse measurement, is proposed this method is based on the concept of compressive sensing. For this, some particular impulsive observers have been presented and adding a decision scheme linked to diagnosis method, the identification of the strange attractor and state observation are done. Some simulations results are given in order to highlight the well founded of the proposed design.
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Submitted on : Thursday, November 8, 2012 - 11:43:44 AM
Last modification on : Tuesday, November 22, 2022 - 2:26:15 PM
Long-term archiving on: : Saturday, February 9, 2013 - 3:43:13 AM


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  • HAL Id : hal-00749736, version 1



Yassine Khaled, Jean-Pierre Barbot, Djamila Benmerzouk, Krishna Busawon, Ghanes Malek. Strange attractor identification and state observation under sparse measurements. Environment-Friendly Energies and Applications, Jun 2012, Newcastle, upon tyne, United Kingdom. ⟨hal-00749736⟩



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