• DocumentCode
    2732594
  • Title

    Separation Principle for Delta-Operator Formulated TS Fuzzy Systems

  • Author

    Li, Dequan ; Yin, Zhixiang ; Fei, Shumin

  • Author_Institution
    Dept. of Math. & Phys., Anhui Univ. of Sci. & Technol., Huainan
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    3739
  • Lastpage
    3743
  • Abstract
    In this paper, the Takagi-Sugeno fuzzy (TS) model in delta-operator form is proposed for fuzzy modeling of the nonlinear systems, then the problem of analysis and linear matrix inequality (LMI) based design of the fuzzy controller and the fuzzy observer for nonlinear system is considered. It is shown that the resulting closed-loop system is globally stable and the fuzzy controller and the fuzzy observer can be obtained by solving a set of linear matrix inequalities that is numerically feasible with commercially available software. In other words, it is shown that the separation principle of the controller and observer design is still maintained for delta-domain TS fuzzy model
  • Keywords
    closed loop systems; control system analysis; control system synthesis; fuzzy control; fuzzy systems; linear matrix inequalities; nonlinear control systems; observers; stability; Takagi-Sugeno fuzzy system; closed-loop system; control system analysis; delta operator; fuzzy modeling; fuzzy observer; fuzzy systems control; global stability; linear matrix inequality; nonlinear systems; separation principle; Control system synthesis; Control systems; Educational technology; Fuzzy control; Fuzzy sets; Fuzzy systems; Linear matrix inequalities; Nonlinear systems; Sampling methods; Stability; Delta operator; fuzzy systems control; linear matrix inequality(LMI);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713069
  • Filename
    1713069