• DocumentCode
    2823031
  • Title

    Global Exponential Stability and Periodic Solutions of FCNNs with Constant Delays and Time-Varying Delays

  • Author

    Zhang, Qianhong ; Luo, Wei

  • Author_Institution
    Sch. of Math. Sci. & Comput. Technol., Central South Univ., Changsha, China
  • Volume
    2
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    659
  • Lastpage
    662
  • Abstract
    This paper is concerned with the problem of global exponential stability and existence of periodic solutions of fuzzy cellular neural networks (FCNNs). Employing young inequality and constructing suitable Lyapunov functional, some sufficient conditions are derived to check global exponential stability and existence of periodic solutions of FCNNs with delays. The results obtained extend previously known results.
  • Keywords
    Lyapunov methods; cellular neural nets; delays; fuzzy neural nets; stability; time-varying systems; FCNN; Lyapunov functional; constant delay; fuzzy cellular neural network; global exponential stability; periodic solution; time-varying delay; young inequality; Cellular networks; Cellular neural networks; Delay; Feeds; Fuzzy neural networks; Neural networks; Neurofeedback; Neurons; Stability; State feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.227
  • Filename
    5194035
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2823031