• DocumentCode
    1365317
  • Title

    Mixed H2/H fuzzy output feedback control design for nonlinear dynamic systems: an LMI approach

  • Author

    Chen, Bor-Sen ; Tseng, Chung-Shi ; Uang, Huey-Jian

  • Author_Institution
    Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • Volume
    8
  • Issue
    3
  • fYear
    2000
  • fDate
    6/1/2000 12:00:00 AM
  • Firstpage
    249
  • Lastpage
    265
  • Abstract
    This study introduces a mixed H2/H fuzzy output feedback control design method for nonlinear systems with guaranteed control performance. First, the Takagi-Sugeno fuzzy model is employed to approximate a nonlinear system. Next, based on the fuzzy model, a fuzzy observer-based mixed H2/H controller is developed to achieve the suboptimal H2 control performance with a desired H disturbance rejection constraint. A robust stabilization technique is also proposed to override the effect of approximation error in the fuzzy approximation procedure. By the proposed decoupling technique and two-stage procedure, the outcome of the fuzzy observer-based mixed H2/H control problem is parametrized in terms of the two eigenvalue problems (EVPs): one for observer and the other for controller. The EVPs can be solved very efficiently using the linear matrix inequality (LMI) optimization techniques. A simulation example is given to illustrate the design procedures and performances of the proposed method
  • Keywords
    H control; approximation theory; control system synthesis; eigenvalues and eigenfunctions; feedback; fuzzy control; matrix algebra; nonlinear dynamical systems; observers; optimisation; robust control; H control; H2 control; Takagi-Sugeno fuzzy model; approximation; disturbance rejection; eigenvalues; fuzzy control; linear matrix inequality; nonlinear dynamic systems; observer; optimization; output feedback; robust control; stabilization; Approximation error; Control design; Control systems; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Output feedback; Robustness; Takagi-Sugeno model;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/91.855915
  • Filename
    855915