• 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