• DocumentCode
    556668
  • Title

    H filter design of networked systems with uncertain accessing probabilities and quantisation

  • Author

    Song, Hongbo ; Yu, Li ; Liu, Guo-Ping

  • Author_Institution
    Dept. of Autom., Zhejiang Univ. of Technol., Hangzhou, China
  • fYear
    2011
  • fDate
    10-10 Sept. 2011
  • Firstpage
    92
  • Lastpage
    97
  • Abstract
    This paper is concerned with the H filtering problem for networked systems with limited accessing measurement and quantisation effects. The plant has multiple quantised measurement outputs and only one of them can be received by the filter at each transmission instant. The considered situation is stochastic accessing with uncertain probabilities based on the observation that estimated probabilities with error bounds instead of exact ones can be obtained in practical systems. The accessing process is modeled as a Bernoulli sequence and the corresponding filtering error system is modeled as a stochastic system with uncertainties both in the system matrix and probabilities. Sufficient conditions are presented for the filtering error system to be stochastically stable with an H performance and a filter design method is also presented in terms of liner matrix inequalities. Finally, an illustrative example is given to show the effectiveness of the proposed method.
  • Keywords
    H control; linear matrix inequalities; networked control systems; stochastic processes; Bernoulli sequence; H filter design; filtering error system; liner matrix inequalities; networked systems; quantisation; stochastic accessing; system matrix; uncertain accessing probabilities; Design methodology; Filtering; Hafnium; Linear matrix inequalities; Quantization; Stochastic processes; Uncertainty; H filtering; limited accessing measurement; networked systems; quantisation; uncertain probabilities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Computing (ICAC), 2011 17th International Conference on
  • Conference_Location
    Huddersfield
  • Print_ISBN
    978-1-4673-0000-1
  • Type

    conf

  • Filename
    6084908