• DocumentCode
    390413
  • Title

    An adaptive controller for a class of nonlinear system using direction basis function

  • Author

    Cao, W.M. ; Feng, Hua ; Zhang, D.M. ; Wang, S.J.

  • Author_Institution
    Inst. of Intelligent Inf. Syst., Zhejiang Univ. of Technol., Hangzhou, China
  • Volume
    1
  • fYear
    2002
  • fDate
    26-30 Aug. 2002
  • Firstpage
    54
  • Abstract
    Adaptive controllers are investigated, using the direction basis function (DBF), for a class of nonlinear dynamical systems. Based on the criterion of Lyapunov stability, the DBF is designed which guarantees that the output of the controlled system asymptotically tracks the reference signals. Simulation shows the good tracking effectiveness of the adaptive controller.
  • Keywords
    adaptive control; feedforward neural nets; learning (artificial intelligence); nonlinear systems; tracking; DBF neural networks; Lyapunov stability criterion; adaptive controller; direction basis function nets; feedfoward nets; nonlinear dynamical systems; nonlinear systems; training signal; Adaptive control; Adaptive systems; Control systems; Error correction; Neural networks; Neurons; Nonlinear control systems; Nonlinear systems; Programmable control; Signal design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2002 6th International Conference on
  • Print_ISBN
    0-7803-7488-6
  • Type

    conf

  • DOI
    10.1109/ICOSP.2002.1180982
  • Filename
    1180982
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=390413