• DocumentCode
    2706387
  • Title

    Delay-dependent controller design for nonlinear system with time-varying delay based on neural networks

  • Author

    Shao, Keyong ; Gao, Hongyu ; Gao, Ming

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Daqing Pet. Inst., Heilongjiang
  • fYear
    2008
  • fDate
    21-24 April 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A new method is proposed to design delay-dependent stability controller for nonlinear systems with time-varying delay in this paper. It is presented by introducing a new type of Lyapunov function. Different from the general processing method, no any term is ignored during the process of analyzing. The controller is obtained by considering the additional useful terms, which were ignored in previous works. Otherwise, the upper bound of a constant delay h is bigger, which decreases the conservative of the systems. An simulation example demonstrates the effectiveness and the merits of the proposed method.
  • Keywords
    Lyapunov methods; control system synthesis; delays; neurocontrollers; nonlinear control systems; time-varying systems; Lyapunov function; delay-dependent controller design; delay-dependent stability controller; neural networks; nonlinear system; time-varying delay; Control systems; Delay systems; Lyapunov method; Neural networks; Nonlinear control systems; Nonlinear systems; Petroleum; Stability; Time varying systems; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology, 2008. ICIT 2008. IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-1705-6
  • Electronic_ISBN
    978-1-4244-1706-3
  • Type

    conf

  • DOI
    10.1109/ICIT.2008.4608479
  • Filename
    4608479