DocumentCode
3414848
Title
From restricted isometry property to observability under sparse measurement
Author
Khaled, Y. ; Barbot, Jean-Pierre ; Busawon, K. ; Benmerzouk, D.
Author_Institution
ECS-Lab., ENSEA, Cergy-Pontoise, France
fYear
2013
fDate
29-31 Oct. 2013
Firstpage
123
Lastpage
128
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 an 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 be 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 well-foundedness of the proposed approach.
Keywords
compressed sensing; signal processing; active mode; compressive sampling; hybrid linear systems; impulsive observers; observability; restricted isometry property; signal processing theory; sparse measurement; Compressed sensing; Eigenvalues and eigenfunctions; Linear systems; Observability; Observers; Signal processing; Vectors; Hybrid system; compressive sensing; impulsive observer;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems and Control (ICSC), 2013 3rd International Conference on
Conference_Location
Algiers
Print_ISBN
978-1-4799-0273-6
Type
conf
DOI
10.1109/ICoSC.2013.6750846
Filename
6750846
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