• DocumentCode
    1844400
  • Title

    Dynamic multilayer neural network for nonlinear system identification

  • Author

    Sanchez, Edgar N. ; Poznyak, Alexander S. ; Yu, Wen

  • Author_Institution
    CINVESTAV, Gaudalajara, Mexico
  • Volume
    3
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    2109
  • Abstract
    To identify online a quite general class of nonlinear systems, this paper proposes a new stable learning law for dynamic multilayer neural networks. A Lyapunov-like analysis is used to derive this stable learning procedure for the hidden layer as well as for the output layer
  • Keywords
    Lyapunov methods; feedforward neural nets; identification; learning (artificial intelligence); nonlinear systems; Lyapunov-like analysis; dynamic multilayer neural network; hidden layer; identification; learning law; nonlinear system; output layer; Control systems; Differential equations; Linear systems; Lyapunov method; Multi-layer neural network; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Riccati equations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1999. IJCNN '99. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-5529-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.1999.832712
  • Filename
    832712
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1844400