• DocumentCode
    3004175
  • Title

    Global exponential stability of BAM type Cohen-Grossberg neural network with delays and impulsive

  • Author

    Zhang, Chaolong ; Yang, Fengjian ; Li, Wei ; Wu, Dongqing ; Yang, Jianfu

  • Author_Institution
    Dept. of Comput. Sci., Zhongkai Univ. of Agric. & Technol., Guangzhou
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    3055
  • Lastpage
    3059
  • Abstract
    By Lyapunov function and Halanay inequality, a class of the BAM type Cohen-Grossberg neural network with delays and impulsive is considered. It obtained some sufficient conditions about the existence of equilibrium point, globally exponential stability and globally exponentially robust stability. We can see the impulses do contribution to the exponential stability and robust stability.At last, an example can be demonstrate the results.
  • Keywords
    Lyapunov methods; asymptotic stability; content-addressable storage; delays; neural nets; Cohen-Grossberg neural network; Halanay inequality; Lyapunov function; bidirectional associative memory; delays; global exponential robust stability; impulsive system; Agriculture; Automation; Chaos; Computer networks; Logistics; Lyapunov method; Magnesium compounds; Neural networks; Robust stability; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-2502-0
  • Electronic_ISBN
    978-1-4244-2503-7
  • Type

    conf

  • DOI
    10.1109/ICAL.2008.4636703
  • Filename
    4636703
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3004175