• DocumentCode
    2668031
  • Title

    Exponential stability of almost periodic solutions for cellular networks with S-type distributed delays

  • Author

    Shuping, Bao

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Qingdao Univ. of Sci. & Technol., Qingdao
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    705
  • Lastpage
    708
  • Abstract
    Cellular neural networks with variable coefficients and S-type distributed delays are considered. Sufficient conditions for the existence and exponential stability of the periodic solutions are established by using the coincidence degree theorem and differential inequality technique.
  • Keywords
    asymptotic stability; cellular neural nets; delays; S-type distributed delays; cellular neural networks; coincidence degree theorem; differential inequality technique; exponential stability; variable coefficients; Cellular neural networks; Educational institutions; Electronic mail; Image processing; Information science; Land mobile radio cellular systems; Pattern recognition; Signal processing; Stability; Sufficient conditions; Cellular neural networks; Coincidence degree theory; Exponential stability; Periodic solution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2008. CCC 2008. 27th Chinese
  • Conference_Location
    Kunming
  • Print_ISBN
    978-7-900719-70-6
  • Electronic_ISBN
    978-7-900719-70-6
  • Type

    conf

  • DOI
    10.1109/CHICC.2008.4605621
  • Filename
    4605621
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2668031