• DocumentCode
    1807088
  • Title

    Delay dependent robust filter design for singular systems with possible lossy measurements

  • Author

    Lee, Ching-Min ; Chiu, Wei-Cheng

  • Author_Institution
    Dept. of Electr. Eng., I-Shou Univ., Kaohsiung, Taiwan
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    1305
  • Lastpage
    1309
  • Abstract
    This paper addresses the problem of robust filtering for networked singular systems with possible lossy measurements due to non-ideal transmission channels and the delay phenomenons with respect to the packet dropout. The Bernoulli random distribution is utilized to formulate the event of possible transmission lossy measurements, and the corresponding delay is considered in a known time interval. The object of this paper is to design a stable filter such that the corresponding delay singular filtering error dynamics is admissible for all considering uncertainties and satisfies a prescribed H performance. A set of delay-dependent sufficient conditions for the analysis and design problems under linear matrix inequality framework is then proposed. A numerical example is provided at last to show the efficiency of the proposed method.
  • Keywords
    control system analysis; control system synthesis; delays; distributed parameter systems; filtering theory; linear matrix inequalities; networked control systems; random processes; statistical distributions; uncertain systems; Bernoulli random distribution; H performance; delay dependent robust filter design; delay singular filtering error dynamics; linear matrix inequality framework; networked control systems; networked singular systems; nonideal transmission channels; packet dropout; possible transmission lossy measurements; Control systems; Delay; Loss measurement; Markov processes; Propagation losses; Robustness; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ASCC), 2011 8th Asian
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-61284-487-9
  • Electronic_ISBN
    978-89-956056-4-6
  • Type

    conf

  • Filename
    5899261