• DocumentCode
    231841
  • Title

    Hierarchical fuzzy control of multivariable systems via semi-tensor product method

  • Author

    Ge Aidong ; Wang Yuzhen ; Liu Zhenbin ; Jiang Ping

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Qilu Univ. of Technol., Jinan, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    4551
  • Lastpage
    4556
  • Abstract
    A new kind of scheme is proposed to obtain hierarchical fuzzy control of multivariable systems. It is based on algebraic fuzzy reasoning equations of fuzzy system using semi-tensor product framework recently described. First, the bi-decomposition of multivariable fuzzy systems is considered, and some new results are obtained. Using these results, the algorithm of hierarchical fuzzy systems realization is developed such that one can easily design the middle layers of the hierarchical structure. The resulting hierarchical system is totally equivalent to the conventional single layer fuzzy logic system. At last, an example is given to demonstrate that the algorithm is effective and feasible.
  • Keywords
    fuzzy control; fuzzy set theory; multivariable control systems; tensors; algebraic fuzzy reasoning equations; hierarchical fuzzy control; hierarchical structure; multivariable fuzzy system bidecomposition; multivariable system; semitensor product method; Equations; Fuzzy control; Fuzzy logic; Input variables; Mathematical model; Matrix decomposition; Hierarchical Fuzzy Control; Multivariable System; Semi-tensor Product;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6895705
  • Filename
    6895705