• DocumentCode
    401851
  • Title

    CMAC self-tuning scheme of fuzzy controller parameters

  • Author

    Liu, Chao-ying ; Cui, Yu-Long

  • Author_Institution
    Hebei Univ. of Sci. & Technol., China
  • Volume
    4
  • fYear
    2003
  • fDate
    2-5 Nov. 2003
  • Firstpage
    2524
  • Abstract
    In this paper, a new type fuzzy controller with CMAC-based self-tuning parameters is proposed. By using the proposed method, the parameters of a fuzzy controller can be tuned online, and the control performance can be improved. In addition, CMAC is used only for tuning grain parameters, so that it is easy to implement and other fuzzy parameters can be designed by conventional method. The paper has already proposed a fuzzy controller with nonlinear scaling functions and controller designing method based on the relationship between the parameters of fuzzy controller and system performance. The proposed method is an extended version of the previously proposed method mentioned above to the fuzzy controller with nonlinear scaling factors, a tuning method of parameters using CMAC. The proposed control scheme is numerically evaluated on some simulations.
  • Keywords
    adaptive control; cerebellar model arithmetic computers; control system synthesis; fuzzy control; fuzzy systems; neurocontrollers; nonlinear control systems; self-adjusting systems; CMAC self-tuning scheme; adaptive control; cerebellar model arithmetic computers; fuzzy controller parameters; fuzzy system design; grain parameters tuning; nonlinear controller designing method; nonlinear scaling functions; Adaptive control; Chaos; Control systems; Design methodology; Fuzzy control; Fuzzy systems; Nonlinear control systems; Programmable control; System performance; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2003 International Conference on
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2003.1259939
  • Filename
    1259939