• DocumentCode
    694777
  • Title

    Solving Fuzzy Nonlinear Systems -- A Class of Defuzzification in the Fuzzy Control

  • Author

    Meizhen Jia ; Xiaohua Peng

  • Author_Institution
    Coll. of Sci., Liaoning Tech. Univ., Fuxin, China
  • fYear
    2013
  • fDate
    7-8 Dec. 2013
  • Firstpage
    521
  • Lastpage
    528
  • Abstract
    In order to achieve defuzzification, converts fuzzy quantity to accurate quantity in fuzzy control, researching about solving fuzzy nonlinear systems. Parameters transform method combines with homotopy method are introduced in this paper. The parameters transform method transforms a class of general fuzzy nonlinear systems and full fuzzy nonlinear systems into numerical nonlinear systems. Then, one can get solutions of the numerical nonlinear systems based on the homotopy method. It is feasible to choose any appropriate initial value when using homotopy method, avoiding the hard work of selecting appropriate initial values. The numerical experiments approve this method is a useful defuzzification at last. It is easier to accomplish defuzzification by solving the two fuzzy nonlinear systems. In this way, a class of fuzzy control can be established based on the defuzzification.
  • Keywords
    fuzzy control; nonlinear control systems; defuzzification; fuzzy control; fuzzy nonlinear systems; fuzzy quantity; homotopy method; numerical nonlinear systems; parameter transform method; Educational institutions; Equations; Fuzzy control; Fuzzy reasoning; Mathematical model; Nonlinear systems; Transforms; defuzzification; fuzzy control; fuzzy nonlinear systems; parameters transform method; the homotopy method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Cloud Computing Companion (ISCC-C), 2013 International Conference on
  • Conference_Location
    Guangzhou
  • Type

    conf

  • DOI
    10.1109/ISCC-C.2013.125
  • Filename
    6973645