• DocumentCode
    646363
  • Title

    State estimation of unknown input fuzzy bilinear systems: Application to fault diagnosis

  • Author

    Saoudi, Dhikra ; Chadli, M. ; Braiek, Naceur Benhadj

  • Author_Institution
    LSA (Lab. of Adv. Syst.), Univ. of Carthage, La Marsa, Tunisia
  • fYear
    2013
  • fDate
    17-19 July 2013
  • Firstpage
    2465
  • Lastpage
    2470
  • Abstract
    This article aims the observer synthesis for a class of nonlinear systems and affected by unknown inputs, represented under the multimodel bilinear formulation. Sufficient conditions to design an unknown input fuzzy bilinear observer are given in Linear Matrix Inequalities (LMIs) terms. The paper studies also the problem of fault detection and isolation. An unknown input fuzzy bilinear fault diagnosis observer design is proposed. Numerical example is given to illustrate the effectiveness of the given results.
  • Keywords
    fault diagnosis; fuzzy systems; linear matrix inequalities; numerical analysis; observers; LMI; fault detection-and-isolation; linear matrix inequalities; multimodel bilinear formulation; nonlinear systems; numerical analysis; observer synthesis; state estimation; sufficient conditions; unknown input fuzzy bilinear fault diagnosis observer design; unknown input fuzzy bilinear systems; Actuators; Equations; Fault diagnosis; Nonlinear systems; Observers; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2013 European
  • Conference_Location
    Zurich
  • Type

    conf

  • Filename
    6669772