• DocumentCode
    498996
  • Title

    Observer-based variable universe fuzzy control with dynamic self-structure

  • Author

    Lu, Yong-kun ; Xia, Chao-ying

  • Author_Institution
    Sch. of Electr. & Autom. Eng., Tianjin Univ., Tianjin, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    743
  • Lastpage
    748
  • Abstract
    An improved observer-based robust adaptive variable universe fuzzy control is proposed in this paper. The structure of fuzzy system is on-line tuned by the dynamic self-structure method except scaling gains adjusted by adaptive laws. The global stability of the resulting closed-loop system is also guaranteed. The proposed controller has not only simplified design for the initial structure of fuzzy system compared with the original controller, but also less fuzzy approximation error with dynamic structure. First, the principle of the observer-based robust adaptive variable universe fuzzy control is presented briefly. Then, the method of dynamic self-structure is given. The proposed improved variable universe fuzzy control is applied to the control of the Duffing chaotic system. The feasibility for practical application is confirmed by simulation results.
  • Keywords
    adaptive control; closed loop systems; fuzzy control; fuzzy systems; nonlinear control systems; observers; robust control; Duffing chaotic system; adaptive law; closed-loop system; dynamic self-structure; fuzzy approximation error; fuzzy system; global stability; observer-based robust adaptive variable universe fuzzy control; Adaptive control; Chaos; Control systems; Cybernetics; Fuzzy control; Fuzzy systems; Machine learning; Nonlinear dynamical systems; Programmable control; Robust control; Chaotic system; Dynamic self-structure; Fuzzy approximation error; On-line; Simplified design; Structure of fuzzy system; Variable universe fuzzy control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212427
  • Filename
    5212427