• DocumentCode
    498360
  • Title

    Neural Network Identification Method Applied to the Nonlinear System

  • Author

    Liu, Bo ; Li, Huiguang ; Wu, Tihua

  • Author_Institution
    Yanshan Univ., Qinhuangdao, China
  • Volume
    4
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    120
  • Lastpage
    124
  • Abstract
    A kind of neural network solution method has been proposed in the paper aiming at a class of non-linear process control system with the characteristic of time delay. In this scheme, a new-type associative memory neural network is used to model the controlled system, and the fuzzy neural network with inverse identification structure is adopted to control the nonlinear process system. This fuzzy neural network control method adopts the structure of three layers combine neural network identifier with inverse structure. Computer simulation and lab application show that it is effective to adopt this scheme to control on-linear process system with time delay.
  • Keywords
    content-addressable storage; delays; fuzzy neural nets; neurocontrollers; nonlinear control systems; associative memory neural network; fuzzy neural network control; inverse identification structure; neural network identification; neural network identifier; nonlinear process control system; on-linear process system; time delay; Associative memory; Computer simulation; Control system synthesis; Delay effects; Fuzzy control; Fuzzy neural networks; Neural networks; Nonlinear control systems; Nonlinear systems; Process control; associative memory neural network; identification; non-linear system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.446
  • Filename
    5209331