• DocumentCode
    1690307
  • Title

    Global exponential stability of BAM neural networks with varying coefficient and impulses on time scales

  • Author

    Zhang, Chaolong ; Yang, Fengjian ; Chen, Liang ; Li, Wei

  • Author_Institution
    Dept. of Comput. Sci., Zhongkai Univ. of Agric. & Eng., Guangzhou, China
  • fYear
    2010
  • Firstpage
    938
  • Lastpage
    942
  • Abstract
    In this paper, a class of BAM neural networks with impulses is studied on time scales. Some sufficient conditions of global exponential stability of the equilibrium point with impulses are obtained. At last, we give an example to demonstrate the effectiveness of the obtained results.
  • Keywords
    asymptotic stability; neural nets; time-varying systems; BAM neural networks; global exponential stability; mpulses; time scales; varying coefficient; Agriculture; Artificial neural networks; Asymptotic stability; Delay; Equations; Neurons; Stability criteria; global exponential stability; impulse; neural networks; time scales;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554550
  • Filename
    5554550
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1690307