From restricted isometry property to observability under sparse measurement

Yassine Khaled 1 Jean-Pierre Barbot 2, 1 Krishna Busawon 3 Djamila Benmerzouk 4
2 NON-A - Non-Asymptotic estimation for online systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
4 Departement de Mathématique
Département de Mathematiques [Tlemcen]
Abstract : In this paper, we show that it is possible to detect the active mode and reconstruct its associated state for a class of hybrid linear systems under sparse measurements. The solution we bring to this problem is firstly to analyze the observability of systems under random sampling and secondly to synthesize a impulsive observer. Here, the first approach is based on the concept of compressive sampling which is well-known in signal processing theory. A synthesis of impulsive observers will presented for some special cases. These observers allows to detect the active mode and rebuild the state under sparse measurement. Simulation results are provided in order to highlight the wellfoundedness of the proposed approach.
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Yassine Khaled, Jean-Pierre Barbot, Krishna Busawon, Djamila Benmerzouk. From restricted isometry property to observability under sparse measurement. International Conference on Systems and Control, Oct 2013, Alger, Algeria. ⟨hal-00923629⟩

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