• DocumentCode
    3162639
  • Title

    Mode-independent H filters for hybrid Markov linear systems

  • Author

    de Souza, Carlos E. ; Trofino, Alexandre ; Barbosa, Karina A.

  • Author_Institution
    Dept. of Syst. & Control, Nacional de Computacao Cientifica, Rio de Janeiro, Brazil
  • Volume
    1
  • fYear
    2004
  • fDate
    17-17 Dec. 2004
  • Firstpage
    947
  • Abstract
    This paper addresses the problem of H filtering for continuous-time linear systems with Markovian jumping parameters. The main contribution of the paper is to provide a method for designing an asymptotically stable linear time-invariant H filter for systems where the jumping parameter is not accessible. The cases where the transition rate matrix of the Markov process is either exactly known, or unknown but belongs to a given polytope, are treated. The robust H filtering problem for systems with polytopic uncertain matrices is also considered and a filter design method based on a Lyapunov function that depends on the uncertain parameters is developed. The proposed filter designs are given in terms of linear matrix inequalities.
  • Keywords
    H/sup /spl infin// control; Markov processes; asymptotic stability; continuous time systems; filtering theory; linear matrix inequalities; linear systems; Lyapunov function; Markovian jumping parameter; asymptotically stable linear time-invariant filter; continuous-time linear system; hybrid Markov linear system; linear matrix inequality; mode-independent H/sub /spl infin// filter; polytopic uncertain matrix; Control systems; Design methodology; Estimation error; Filtering; Linear matrix inequalities; Linear systems; Lyapunov method; Markov processes; Nonlinear filters; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2004. CDC. 43rd IEEE Conference on
  • Conference_Location
    Nassau
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-8682-5
  • Type

    conf

  • DOI
    10.1109/CDC.2004.1428807
  • Filename
    1428807