• DocumentCode
    3438379
  • Title

    State estimation for MIMO hybrid dynamical model

  • Author

    Rajaoarisoa, Lala H. ; Balmat, Jean F. ; M´Sirdi, Nacer K.

  • Author_Institution
    Res. Inst. on Embedded Syst., St. Etienne du Rouvray, France
  • fYear
    2011
  • fDate
    12-15 Dec. 2011
  • Firstpage
    5455
  • Lastpage
    5460
  • Abstract
    It is well-known that the parameter estimation is difficult in many real-world application where continuous nonlinear dynamics interact with discrete-event ones. In this paper, we address the problem of state estimation in hybrid systems exhibited by a mix of continuous time dynamics, discrete-time and discrete-event dynamics. We also demonstrate that a set of parameters is identifiable if the operating modes are detectable and observable. An application will illustrate the results proposed.
  • Keywords
    MIMO systems; continuous time systems; discrete event systems; discrete time systems; nonlinear dynamical systems; state estimation; MIMO system; continuous nonlinear dynamics; continuous time dynamics; discrete event dynamics; discrete time dynamics; hybrid dynamical model; parameter estimation; state estimation; Input variables; Mathematical model; Observability; Parameter estimation; State estimation; Switches; MIMO Hybrid system; detectability; identifiability; observability; persistently exciting; state estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-61284-800-6
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2011.6161065
  • Filename
    6161065