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
Link To Document :
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