• DocumentCode
    1752602
  • Title

    Robust H State Observer Design for a Class of Linear Switched Composite Large-Scale Systems

  • Author

    Jiao Li ; Changchun Sun ; Yuzhong Liu

  • Author_Institution
    Sch. of Math. & Syst. Sci., Shenyang Normal Univ.
  • Volume
    1
  • fYear
    2006
  • fDate
    21-23 June 2006
  • Firstpage
    1290
  • Lastpage
    1293
  • Abstract
    The problem of robust Hinfin state observer design was considered for a class of switched composite large-scale systems. This paper was studied under the assumptions that there existed finite candidate state observers, and the gain matrices of observers were known, but none of the individual state observers made the error system stable. Based on convex combination technique, LMI method and switching among the finite candidate observers, the error system is shown to be stable with Hinfin norm-bounded through the design of switching laws. The results show that the choice range of the gain matrices of state observers is extended by switching technique and simplifies the design of systems. Simulations validate the correctness of the results
  • Keywords
    Hinfin control; large-scale systems; linear matrix inequalities; observers; robust control; time-varying systems; Lyapunov function; convex combination technique; error system stable; gain matrices; linear matrix inequality; linear switched composite large-scale systems; robust Hinfin state observer design; switching technique; Automation; Intelligent control; Large-scale systems; Linear matrix inequalities; Lyapunov method; Mathematics; Neural networks; Robustness; Sun; H; Lyapunov function; linear matrix inequality; switched composite large-scale systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1712555
  • Filename
    1712555