• DocumentCode
    494516
  • Title

    New sufficient criteria for global robust stability of neural networks with multiple time delays

  • Author

    Yucel, Eylem ; Arik, Sabri

  • Author_Institution
    Dept. of Comput. Eng., Istanbul Univ., Istanbul, Turkey
  • Volume
    01
  • fYear
    2009
  • fDate
    6-9 May 2009
  • Firstpage
    403
  • Lastpage
    406
  • Abstract
    In this paper, we study global robust asymptotic stability of the equilibrium point for neural networks with multiple time delays. By employing suitable Lyapunov functionals, we derive a set of delay independent sufficient conditions for global robust asymptotic stability of this class of neural networks.
  • Keywords
    Lyapunov methods; asymptotic stability; delays; neural nets; Lyapunov functional; global robust asymptotic stability; multiple time delay; neural network; Artificial intelligence; Asymptotic stability; Bismuth; Convergence; Delay effects; Neural networks; Neurons; Robust stability; Signal processing; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2009. ECTI-CON 2009. 6th International Conference on
  • Conference_Location
    Pattaya, Chonburi
  • Print_ISBN
    978-1-4244-3387-2
  • Electronic_ISBN
    978-1-4244-3388-9
  • Type

    conf

  • DOI
    10.1109/ECTICON.2009.5137035
  • Filename
    5137035
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=494516