• DocumentCode
    1560697
  • Title

    Asymptotic stability of a class of generalized Hopfield neural networks with time delay and nonsymmetric interconnecting structure

  • Author

    Ji, Ce ; Zhang, Huaguang

  • Author_Institution
    Dept. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • Volume
    3
  • fYear
    2004
  • Firstpage
    2014
  • Abstract
    Since time delay and parameters uncertainty are inevitable, the asymptotic stability of the generalized Hopfield neural networks with time delay and nonsymmetric interconnecting structure is analyzed. The sufficient conditions for the asymptotic stability of equilibrium point are established by way of constructing a suitable Lyapunov functional and sector conditions. The simulation results are presented to prove the effectiveness of the conclusion.
  • Keywords
    Hopfield neural nets; Lyapunov methods; asymptotic stability; delays; generalisation (artificial intelligence); uncertain systems; Lyapunov functional; asymptotic stability; generalized Hopfield neural networks; nonsymmetric interconnecting structure; parameter uncertainty; sufficient conditions; time delay; Asymptotic stability; Delay effects; Equations; Hopfield neural networks; Neural networks; Neurons; Stability analysis; Stability criteria; Sufficient conditions; Uncertain systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
  • Print_ISBN
    0-7803-8273-0
  • Type

    conf

  • DOI
    10.1109/WCICA.2004.1341935
  • Filename
    1341935
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1560697