• DocumentCode
    989511
  • Title

    On guaranteed cost fuzzy control for nonlinear systems with interval time-varying delay

  • Author

    Jiang, X. ; Han, Q.-L.

  • Author_Institution
    Hangzhou Dianzi Univ., Rockhampton
  • Volume
    1
  • Issue
    6
  • fYear
    2007
  • fDate
    11/1/2007 12:00:00 AM
  • Firstpage
    1700
  • Lastpage
    1710
  • Abstract
    A guaranteed cost fuzzy control for a class of nonlinear time-delay systems has been reported. The time-delay is assumed to be a time-varying continuous function belonging to a given interval, which means that the lower and upper bounds of the time-varying delay are available. And no restriction on the derivative of the time-varying delay is needed, which allows the time-delay to be a fast time-varying function. The nonlinear time-delay systems are approximated by uncertain Takagi-Sugeno (T-S) fuzzy models with interval time-varying delay. Delay-dependent sufficient conditions on the existence of a guaranteed cost fuzzy controller are derived in terms of matrix inequalities. No model transformation is needed and no slack matrix variable is introduced. A non-convex minimisation problem is formulated for finding the least upper bound of guaranteed cost function under matrix inequality constraints. In order to solve this non-convex minimisation problem, a linearisation iterative algorithm is provided to design a controller achieving a suboptimal guaranteed cost for the considered systems. No parameter needs to be selected in advance. A numerical example is also given to show the effectiveness of the proposed design method.
  • Keywords
    concave programming; delays; fuzzy control; minimisation; nonlinear systems; time-varying systems; cost fuzzy controller; fast time-varying function; interval time-varying delay; least upper bound; linearisation iterative algorithm; matrix inequalities; model transformation; nonconvex minimisation problem; nonlinear time-delay systems; slack matrix variable; time-varying continuous function; uncertain Takagi-Sugeno fuzzy models;
  • fLanguage
    English
  • Journal_Title
    Control Theory & Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8644
  • Type

    jour

  • DOI
    10.1049/iet-cta:20060462
  • Filename
    4389838