• DocumentCode
    105
  • Title

    Nonsynchronized Robust Filtering Design for Continuous-Time T–S Fuzzy Affine Dynamic Systems Based on Piecewise Lyapunov Functions

  • Author

    Jianbin Qiu ; Hui Tian ; Qiugang Lu ; Huijun Gao

  • Author_Institution
    Space Control & Inertial Technol. Res. Center, Harbin Inst. of Technol., Harbin, China
  • Volume
    43
  • Issue
    6
  • fYear
    2013
  • fDate
    Dec. 2013
  • Firstpage
    1755
  • Lastpage
    1766
  • Abstract
    This paper investigates the problem of robust H∞ state estimation for a class of continuous-time nonlinear systems via Takagi-Sugeno (T-S) fuzzy affine dynamic models. Attention is focused on the analysis and design of an admissible full-order filter such that the resulting filtering error system is asymptotically stable with a guaranteed H∞ disturbance attenuation level. It is assumed that the plant premise variables, which are often the state variables or their functions, are not measurable so that the filter implementation with state-space partition may not be synchronous with the state trajectories of the plant. Based on piecewise quadratic Lyapunov functions combined with S-procedure and some matrix inequality linearization techniques, some new results are presented for the filtering design of the underlying continuous-time T-S fuzzy affine systems. Illustrative examples are given to validate the effectiveness and application of the proposed design approaches.
  • Keywords
    H control; Lyapunov methods; asymptotic stability; continuous time systems; filtering theory; fuzzy systems; linear matrix inequalities; nonlinear systems; state estimation; state-space methods; H disturbance attenuation level; S-procedure; Takagi-Sugeno fuzzy affine dynamic models; admissible full-order filter analysis; admissible full-order filter design; asymptotic stability; continuous-time T-S fuzzy affine dynamic systems; continuous-time nonlinear systems; filtering error system; matrix inequality linearization techniques; nonsynchronized robust filtering design; piecewise quadratic Lyapunov functions; plant premise variables; robust H state estimation; state-space partition; Filtering; Fuzzy systems; Linear matrix inequalities; Lyapunov methods; Nonlinear systems; Robustness; Vectors; Parameter uncertainties; T–S fuzzy affine systems; piecewise quadratic Lyapunov functions (PQLFs); state estimation;
  • fLanguage
    English
  • Journal_Title
    Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2168-2267
  • Type

    jour

  • DOI
    10.1109/TSMCB.2012.2229389
  • Filename
    6403568