• DocumentCode
    175379
  • Title

    Stochastic observer design for Markovian jump Lur´e differential inclusion system

  • Author

    Jun Huang ; Lei Yu ; Lining Sun

  • Author_Institution
    Sch. of Mech. & Electr. Eng., Soochow Univ., Suzhou, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    114
  • Lastpage
    118
  • Abstract
    This paper deals with the observer design for the Lur´e differential inclusion system with Markovian jump parameters. The information of transition probabilities is partially unknown. The stochastic observer is designed to make the error system exponentially stable in mean square. The condition for the existence of the stochastic observer is given by a set of linear matrix inequalities and linear matrix equalities. Finally, the rotor system is simulated to show the effectiveness of the proposed observer.
  • Keywords
    Markov processes; asymptotic stability; linear matrix inequalities; mean square error methods; observers; probability; Markovian jump Lur´e differential inclusion system; Markovian jump parameters; error system; exponential stability; linear matrix equalities; linear matrix inequalities; mean square; rotor system simulation; stochastic observer design; transition probabilities; Educational institutions; Linear matrix inequalities; Observers; Rotors; Silicon; Stability analysis; Stochastic processes; Lur´e differential inclusions; Markovian jump parameters; Stochastic observer; Unknown transition probabilities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852128
  • Filename
    6852128