• DocumentCode
    2849106
  • Title

    Exponential fast terminal sliding mode control

  • Author

    He, Naibao ; Gao, Qian ; Liu, Yongqiang ; Gong, Chenglong ; Jiang, Changsheng

  • Author_Institution
    Huaihai Inst. of Techology, Lianyungang, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    2067
  • Lastpage
    2069
  • Abstract
    Improving fuzzy neural network (FNN) systems approximate unknown nonlinear continuous functions is proposed. The concept of exponential fast terminal sliding mode is introduced into the learning algorithm. The Lyapunov stability analysis guarantees that the approximation is stable and converges to the unknown function with improved speed.
  • Keywords
    Lyapunov methods; fuzzy neural nets; learning (artificial intelligence); nonlinear control systems; stability; variable structure systems; FNN; Lyapunov stability analysis; exponential fast terminal sliding mode control; fuzzy neural network system; learning algorithm; nonlinear continuous function; Control systems; Educational institutions; Electronic mail; Fuzzy control; Fuzzy neural networks; Helium; Lyapunov method; Nonlinear control systems; Nonlinear systems; Sliding mode control; adaptive control; nonlinear systems; slide control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498903
  • Filename
    5498903
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2849106