• DocumentCode
    780012
  • Title

    Delay-dependent robust H and L2-L filtering for a class of uncertain nonlinear time-delay systems

  • Author

    Gao, Huijun ; Wang, Changhong

  • Author_Institution
    Inertial Navigation Center, Harbin Inst. of Technol., China
  • Volume
    48
  • Issue
    9
  • fYear
    2003
  • Firstpage
    1661
  • Lastpage
    1666
  • Abstract
    This note presents delay-dependent robust H and L2-L filter designs for a class of nonlinear systems with multiple time-varying delays in the state and parameter uncertainties residing in a polytope. The nonlinearities are assumed to satisfy global Lipschitz conditions. Attention is focused on the design of robust full-order and reduced-order filters guaranteeing a prescribed noise attenuation level in an H or L2-L sense. The admissible filters can be obtained from the solution of convex optimization problems in terms of linear matrix inequalities, which can be solved via efficient interior-point algorithms.
  • Keywords
    H optimisation; convex programming; delay filters; filtering theory; linear matrix inequalities; nonlinear systems; stability; uncertain systems; LMI; admissible filters; convex optimization problems; delay-dependent robust H filtering; delay-dependent robust L2-L filtering; efficient interior-point algorithms; global Lipschitz conditions; linear matrix inequalities; multiple time-varying delays; noise attenuation level; nonlinear systems; nonlinearities; parameter uncertainties; polytope; robust full-order filters; robust reduced-order filters; state uncertainties; uncertain nonlinear time-delay systems; Attenuation; Delay; Linear matrix inequalities; Noise level; Noise reduction; Noise robustness; Nonlinear filters; Nonlinear systems; Time varying systems; Uncertain systems;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2003.817012
  • Filename
    1231267