• DocumentCode
    1314708
  • Title

    Neural network identification of a nonlinear circuit model of hysteresis

  • Author

    Cincotti, S. ; Daneri, I.

  • Author_Institution
    Dipartimento d´´Ingegneria, Elettrica ed Elettronica, Cagliari Univ., Italy
  • Volume
    33
  • Issue
    13
  • fYear
    1997
  • fDate
    6/19/1997 12:00:00 AM
  • Firstpage
    1154
  • Lastpage
    1156
  • Abstract
    A nonlinear circuit model of hysteretic phenomena is presented. The model provides a close prediction of static hysteresis and exhibits realistic dynamic features. The parameters of the circuit model can be identified by proper neural network training. Basic features and results are discussed
  • Keywords
    feedforward neural nets; hysteresis; identification; nonlinear network analysis; dynamic features; hysteretic phenomena; neural network identification; neural network training; nonlinear circuit model; static hysteresis;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19970748
  • Filename
    600999