• DocumentCode
    2313205
  • Title

    Multi-model neural network IMC

  • Author

    Wen, Xin-Yu ; Zhang, Jing-gang ; Zhao, Zhi-cheng ; Liu, Lequn

  • Author_Institution
    Dept. of Autom., Taiyuan Heavy Machinery Inst., China
  • Volume
    6
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    3370
  • Abstract
    Aiming at the practical plants with strong nonlinear characteristics, this paper proposes multi-model IMC control strategies based on GPF networks. The internal model and internal model controller represented by GPF networks and the mean of model switch are developed. Simulation demonstrates the validity of this method.
  • Keywords
    control engineering computing; neurocontrollers; nonlinear control systems; GPF networks; Gaussian potential function networks; internal model controller; multimodel IMC control; multimodel neural network; Adaptive control; Automation; Electronic mail; Inverse problems; Machinery; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Process control; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
  • Print_ISBN
    0-7803-8403-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2004.1380364
  • Filename
    1380364
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2313205