• DocumentCode
    2667677
  • Title

    A review of decoupling control based on multiple models

  • Author

    Liu, Guohai ; Wang, Zhaoxia ; Mei, Congli ; Ding, Yuhan

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    1077
  • Lastpage
    1081
  • Abstract
    In this article, we review and discuss methods for decoupling control which include conventional decoupling and adaptive decoupling. Decoupling methods which is used to solve the multivariable coupled in nonlinear control are always a hot issue. The major algorithms such as neural network and fuzzy control are described in details and critically reviewed in this work. The advantages and disadvantages of these algorithms are analyzed. The review reveals the tremendous prospect of decoupling algorithms in nonlinear control. It is important to seek effective and simple decoupling methods.
  • Keywords
    adaptive systems; fuzzy control; multivariable control systems; neurocontrollers; nonlinear control systems; adaptive decoupling; decoupling algorithms; fuzzy control; multiple model; multivariable decoupling control; neural network; nonlinear control; Adaptation models; Adaptive systems; Control systems; Couplings; MIMO; Neural networks; Process control; adaptive decoupling control; fuzzy control; multivariable decoupling control; neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244171
  • Filename
    6244171