• DocumentCode
    1495478
  • Title

    Neural network α-th order inverse system method for the control of nonlinear continuous systems

  • Author

    Dai, X. ; Liu, J. ; Feng, C. ; He, D.

  • Author_Institution
    Dept. of Autom. Control Eng., Southeast Univ., Nanjing, China
  • Volume
    145
  • Issue
    6
  • fYear
    1998
  • fDate
    11/1/1998 12:00:00 AM
  • Firstpage
    519
  • Lastpage
    522
  • Abstract
    The ANN α-th order inverse system is composed of a single static artificial neural network and several integrators. By combining the α-th order inverse system with an additional linear controller designed according to conventional theory of linear continuous systems, a composite control method is formed and the effective control of the original system can be completed. Simulation results show that this method applies to general linear or nonlinear continuous systems with simple construction of the controller for easy implementation
  • Keywords
    inverse problems; neurocontrollers; nonlinear control systems; composite control method; integrators; linear continuous systems; neural network α-th order inverse system method; nonlinear continuous system control; static artificial neural network;
  • fLanguage
    English
  • Journal_Title
    Control Theory and Applications, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2379
  • Type

    jour

  • DOI
    10.1049/ip-cta:19982411
  • Filename
    756362