• DocumentCode
    2794072
  • Title

    Application of Neural Network Simple Adaptive Control in Multivariable Coupling System

  • Author

    Zhao, Baoyong ; Yin, Yixin

  • Author_Institution
    Sch. of Inf. Eng., Univ. of Sci. & Technol., Beijing
  • Volume
    1
  • fYear
    2006
  • fDate
    16-18 Oct. 2006
  • Firstpage
    142
  • Lastpage
    146
  • Abstract
    For the nonlinear multivariable control system, a simple adaptive control calculation method based on neural network was proposed. By using neural network as its constitution unit, the simple implicit adaptive control system is formed. It takes full advantages of the ability of neural network to willfully approach the nonlinear function and its parallel distribution and easy access to hardware application. Moreover, it gives full scope to the property of independence between the simple adaptive control and the controlled object, and its simple structure and flexible variables adjustment permit its adaptability to study. The simulation experiments in the hot rolling looper system achieve desirable control and thus prove its validity and feasibility
  • Keywords
    adaptive control; multivariable control systems; neurocontrollers; nonlinear control systems; adaptive control; multivariate coupling system; neural network; nonlinear multivariable control; Adaptive control; Automatic control; Constitution; Control system synthesis; Control systems; Couplings; MIMO; Neural networks; Nonlinear control systems; Production systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    0-7695-2528-8
  • Type

    conf

  • DOI
    10.1109/ISDA.2006.104
  • Filename
    4021425