• DocumentCode
    3448570
  • Title

    Adaptive neural network-based sliding mode control for nonlinear uncertain systems with time-varying delay

  • Author

    Li, Juntao ; Li, Xinlei ; Wang, Hongjun ; Li, Wenlin

  • Author_Institution
    Coll. of Math. & Inf. Sci., Henan Normal Univ., XinXiang, China
  • Volume
    2
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    865
  • Lastpage
    869
  • Abstract
    This paper presents an adaptive-neural-network-based sliding mode control scheme for a class of nonlinear systems with unknown time-varying delay. Incorporating H control technique and adaptive neural network method into sliding-mode control approach, adaptive sliding-mode controllers are designed for guaranteeing the H performance of the closed-loop systems. One of the prominent advantages of the proposed scheme is that the nonlinear uncertainties are free of the matching condition and the linear boundary condition. Simulation results illustrate the obtained results.
  • Keywords
    H control; closed loop systems; delays; neurocontrollers; nonlinear control systems; uncertain systems; variable structure systems; H control technique; adaptive neural network; closed loop systems; nonlinear uncertain systems; sliding mode control; time varying delay; Adaptation model; H control; Nonlinear time-delay system; fuzzy neural network; sliding mode control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658746
  • Filename
    5658746