• DocumentCode
    755262
  • Title

    Optimization of fused fuzzy systems via genetic algorithms

  • Author

    Chan, P.T. ; Rad, A.B. ; Tsang, K.M.

  • Author_Institution
    Dept. of Electr. Eng., Hong Kong Polytech. Univ., China
  • Volume
    49
  • Issue
    3
  • fYear
    2002
  • fDate
    6/1/2002 12:00:00 AM
  • Firstpage
    685
  • Lastpage
    692
  • Abstract
    In this paper, the problem of optimization of fused fuzzy systems via genetic algorithms is addressed. The proposed architecture separates a large fuzzy rule optimization problem into a series of more manageable and smaller problems through rule-table transformation. The algorithm is applied to the cart-pole system to demonstrate its characteristics
  • Keywords
    fuzzy control; fuzzy systems; genetic algorithms; knowledge based systems; nonlinear control systems; pendulums; cart-pole system; fused fuzzy controller structure; fused fuzzy systems optimisation; fuzzy rule optimization problem; genetic algorithms; inverted pendulum; open-loop unstable nonlinear control problem; rule-table transformation; Frequency selective surfaces; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Genetic algorithms; Helium; Input variables; Mutual coupling; Nonlinear systems; Tuning;
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.2002.1005396
  • Filename
    1005396
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=755262