• DocumentCode
    2602561
  • Title

    Delay-dependent robust peak-to-peak filtering for stochastic systems with time-delay

  • Author

    Zhao, Guanglei ; Wang, Jingcheng

  • Author_Institution
    Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2011
  • fDate
    26-29 June 2011
  • Firstpage
    463
  • Lastpage
    468
  • Abstract
    The problem of robust peak-to-peak filtering for a class of stochastic systems with time delay and L disturbance is investigated in this paper. The objective is to design a robust peak-to-peak filter such that the peak value of the estimation error is minimized for possible bounded disturbances. A delay-dependent sufficient condition is presented, which guarantees the mean-square exponential stability and a prescribed H performance level. A desired filter can be constructed by the proposed approach. All conditions are given in the form of LMI which can be solved effectively. A numerical example is given to illustrate the effectiveness of the proposed method.
  • Keywords
    asymptotic stability; delays; linear matrix inequalities; robust control; stochastic systems; H performance level; L disturbance; delay-dependent robust peak-to-peak filtering; delay-dependent sufficient condition; estimation error; mean-square exponential stability; stochastic systems; time-delay; Attenuation; Delay effects; Filtering; Noise; Robustness; Stochastic systems; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling, Identification and Control (ICMIC), Proceedings of 2011 International Conference on
  • Conference_Location
    Shanghai
  • Type

    conf

  • DOI
    10.1109/ICMIC.2011.5973750
  • Filename
    5973750