• DocumentCode
    627692
  • Title

    Stabilization of discrete-time fuzzy systems via composite state and output feedback control design

  • Author

    Kuo-Jung Lin

  • Author_Institution
    Dept. of Electr. Eng., Fortune Inst. of Technol. Kaohsiung City, Kaohsiung, Taiwan
  • fYear
    2013
  • fDate
    May 31 2013-June 2 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we propose the stabilization of discrete-time fuzzy systems. Firstly, the discrete-time fuzzy systems will be represented as a discrete-time descriptor fuzzy systems. Then, we propose using composite state and output feedback controller to stabilize the discrete-time descriptor fuzzy systems. Based on the Lyapunov stability theorem, we derive the linear matrix inequality (LMI) stability condition. The state and output feedback controller can easily be solved by using LMI control toolbox. A nonlinear circuit system is given to illustrate the validity of the proposed scheme.
  • Keywords
    Lyapunov methods; control system synthesis; discrete time systems; feedback; fuzzy systems; linear matrix inequalities; nonlinear systems; stability; LMI control toolbox; LMI stability condition; Lyapunov stability theorem; composite state controller design; discrete-time descriptor fuzzy systems; discrete-time fuzzy system stabilization; linear matrix inequality stability condition; nonlinear circuit system; output feedback controller design; Bismuth; Control design; Fuzzy control; Linear matrix inequalities; Lyapunov methods; Output feedback; composite state and output feedback controller; discrete-time descriptor fuzzy systems; discrete-time fuzzy systems; linear matrix inequality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Robotics and Intelligent Systems (ARIS), 2013 International Conference on
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4799-0100-5
  • Type

    conf

  • DOI
    10.1109/ARIS.2013.6573524
  • Filename
    6573524