• DocumentCode
    2656371
  • Title

    Global exponential stability of Cohen-Grossberg neural networks with multiple time-varying delays

  • Author

    Deng, Jin ; Xu, Daoyi ; Yang, Zhichun

  • Author_Institution
    Coll. of Math., Sichuan Univ., China
  • fYear
    2004
  • fDate
    13-15 Dec. 2004
  • Firstpage
    230
  • Lastpage
    233
  • Abstract
    Exponential stability of the Cohen-Grossberg neural networks with multiple time-varying delays is analyzed. Sufficient conditions for the existence and exponential stability of an equilibrium of the networks are obtained. These conditions are less restrictive than previously known criteria and can be easily verified.
  • Keywords
    asymptotic stability; delays; neural nets; Cohen-Grossberg neural networks; exponential stability; time-varying delays; Delay; Educational institutions; Hopfield neural networks; Linear matrix inequalities; Neural networks; Stability analysis; Sufficient conditions; Time varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 2004. ICECS 2004. Proceedings of the 2004 11th IEEE International Conference on
  • Print_ISBN
    0-7803-8715-5
  • Type

    conf

  • DOI
    10.1109/ICECS.2004.1399657
  • Filename
    1399657