• DocumentCode
    547470
  • Title

    The exponential stability criteria of impulsive switched neural networks with time-invariant delays

  • Author

    Zhang, Xianmin ; Huang, Xiyue ; Liu, Zuohua

  • Author_Institution
    Coll. of Autom., Chongqing Univ., Chongqing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    582
  • Lastpage
    586
  • Abstract
    The exponential stability of impulsive switched systems with time-invariant delays is considered. By applying Lyapunov functional method and inequality technique, A sufficient conditions are obtained for the exponential stability of solutions of the impulsive switched systems with delays. An example is given to illustrate the application of the obtained results.
  • Keywords
    asymptotic stability; delays; neural nets; Lyapunov functional method; exponential stability criteria; impulsive switched neural network; impulsive switched system; time-invariant delays; Artificial neural networks; Asymptotic stability; Circuit stability; Delay; Stability criteria; Switched systems; Lyapunov function; exponentially stable; impulsive switched systems; neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5953288
  • Filename
    5953288