• DocumentCode
    34897
  • Title

    Robust H2 and H filtering for discrete-time uncertain Linear fractional transform systems

  • Author

    Sadeghzadeh, Arash

  • Author_Institution
    Dept. of Electr. Eng., Razi Univ., Kermanshah, Iran
  • Volume
    9
  • Issue
    6
  • fYear
    2015
  • fDate
    4 13 2015
  • Firstpage
    882
  • Lastpage
    892
  • Abstract
    This study is concerned with the problem of robust H2 and H filtering for uncertain discrete-time linear systems. Two types of time-invariant parametric uncertainty, namely polytopic and ellipsoidal, are considered and represented by a linear fractional transformation structure. Obtained auxiliary variables by a convex optimisation problem, play the role of decoupling the Lyapunov variables and the robust filter parameters, in order to cast the problem into a linear matrix inequality-based optimisation problem. The design conditions are derived based on the quadratic separation concept and employing appropriate parameterisations for the corresponding set of multipliers. The merit of the methods presented in this study lies in their less conservatism than the existing methods for the polytopic uncertain systems, as well as presenting a new convex optimisation procedure for the robust filtering for the ellipsoidal uncertain systems.
  • Keywords
    H filters; H2 filters; Lyapunov methods; convex programming; discrete time systems; linear matrix inequalities; linear systems; uncertain systems; Lyapunov variable decoupling; convex optimisation problem; discrete-time uncertain linear fractional transform systems; ellipsoidal uncertain systems; linear fractional transformation structure; linear matrix inequality-based optimisation problem; polytopic uncertain systems; quadratic separation concept; robust H filtering; robust H2 filtering; robust filter parameters; time-invariant parametric uncertainty; uncertain discrete-time linear systems;
  • fLanguage
    English
  • Journal_Title
    Control Theory & Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8644
  • Type

    jour

  • DOI
    10.1049/iet-cta.2014.0381
  • Filename
    7089396