• DocumentCode
    1812874
  • Title

    Global Exponential Stability of a General Class of BAM Neural Networks with Impulsive and Delay

  • Author

    Zhang, Chaolong ; Ding, Wensi ; Yang, Fengjian ; Zeng, Yanshan

  • Author_Institution
    Dept. of Comput. Sci., Zhongkai Univ. of Agric. & Eng., Guangzhou, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    343
  • Lastpage
    346
  • Abstract
    By piecewise Lyapunov function , a general class of bidirectional associative memory with impulsive and delay is studied.Several global exponential stability criteria of the equilibrium point are established.Two linear impulsive neural networks with delays are constructed, which can be used to design impulsive controllers to control the exponential stability of the system. This method is possible in practical application.
  • Keywords
    Lyapunov methods; asymptotic stability; content-addressable storage; delays; neural nets; BAM; bidirectional associative memory; delay; global exponential stability; impulsive controllers; linear impulsive neural networks; piecewise Lyapunov function; Artificial neural networks; Asymptotic stability; Delay; Equations; Lyapunov method; Mathematical model; Stability criteria; Lyapunov function; globally exponentially stability; impulsive; neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Commerce and Security (ISECS), 2010 Third International Symposium on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-8231-3
  • Electronic_ISBN
    978-1-4244-8231-3
  • Type

    conf

  • DOI
    10.1109/ISECS.2010.82
  • Filename
    5557374
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1812874