• DocumentCode
    2797348
  • Title

    To Solve Lorenz System by Sliding Mode Controller Based on Interval Type-2 Fuzzy Logic

  • Author

    Guo, Nai Ren ; Kuo, Chao-Lin ; Lin, Ming Hong ; Tsai, Tzong Jiy

  • Author_Institution
    Dept. of Electr. Eng., Tung Fang Inst. of Technol., Kaohsiung, Taiwan
  • Volume
    1
  • fYear
    2009
  • fDate
    Nov. 30 2009-Dec. 1 2009
  • Firstpage
    27
  • Lastpage
    30
  • Abstract
    In this manuscript, we present a novel method to solve Lorenz chaos problem. As we known, the traditional fuzzy logic control method, it spends a lot of time to determine the membership functions and fuzzy if-then rules by trial-and-error tuning. To overcome these drawbacks, we propose to design an interval fuzzy type-2 controller with the sliding surface. The fuzzy if-then rules are defined based on the sliding surface, and the output of the fuzzy controller is inferred by the proper compositional rule of inference. The motivation behind this scheme is to drive the states of Lorenz system by using the sliding surface. The simulation results indicate that the proposed method is feasible and effective for the Lorenz chaos problem.
  • Keywords
    chaos; control system synthesis; fuzzy control; fuzzy logic; fuzzy reasoning; nonlinear control systems; variable structure systems; Lorenz chaos problem; Lorenz system; compositional inference rule; fuzzy if-then rules; fuzzy inference; interval type-2 fuzzy logic control; membership functions; sliding mode controller; sliding surface; trial-and-error tuning; Chaos; Chaotic communication; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Linear feedback control systems; Optimal control; Sliding mode control; chaos system; sliding control; type-2 fuzzy logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3888-4
  • Type

    conf

  • DOI
    10.1109/KAM.2009.306
  • Filename
    5362182