• DocumentCode
    3586166
  • Title

    Robust H filters for uncertain discrete-time stochastic systems

  • Author

    Boukili, Bensalem ; Hmamed, Abdelaziz ; Tadeo, Fernando

  • Author_Institution
    Fac. of Sci. Dhar El Mehraz, LESSI, Sidi Mohamed Ben Abdellah Univ., Fac. of Sci. Dhar El Mehraz, Fes-Atlas, Morocco
  • fYear
    2014
  • Firstpage
    95
  • Lastpage
    99
  • Abstract
    This paper is concerned with the robust H filtering for uncertain discrete-time stochastic systems with polytopic uncertainties. To solve this problem we introduce same slack matrix variables and then use a polynomial parameter dependent approach. Then some conditions expressed as strict linear matrix inequality conditions are derived, which can be easily tested by using standard numerical software. This new approach is shown, via a numerical example, to be less conservative than previous results in the quadratic and parameter-dependent frameworks.
  • Keywords
    H filters; discrete time systems; linear matrix inequalities; polynomials; stochastic systems; uncertain systems; linear matrix inequality conditions; numerical software; parameter-dependent framework; polynomial parameter dependent approach; polytopic uncertainties; quadratic framework; robust H filters; slack matrix variables; uncertain discrete-time stochastic systems; Barium; Linear matrix inequalities; Maximum likelihood detection; Nonlinear filters; Robustness; Stochastic systems; H filtering; Linear Matrix Inequalities; Robust Filtering; Stochastic Systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2014 15th International Conference on
  • Type

    conf

  • DOI
    10.1109/STA.2014.7086774
  • Filename
    7086774