• DocumentCode
    550111
  • Title

    New results on asymptotic stability analysis for static recurrent neural networks

  • Author

    Ma Qian ; Wang Zhen

  • Author_Institution
    Sch. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    2636
  • Lastpage
    2640
  • Abstract
    This paper focuses on the asymptotic stability analysis for static recurrent neural networks. Simplified stability criteria for static neural networks are obtained and augmented Lyapunov functionals are introduced to study the delay-dependent stability for systems. Numerical examples show the improvement over approaches in the literature.
  • Keywords
    Lyapunov methods; asymptotic stability; delays; recurrent neural nets; Lyapunov functions; asymptotic stability analysis; delay dependent stability; static recurrent neural networks; Asymptotic stability; Biological neural networks; Delay; Recurrent neural networks; Stability criteria; Asymptotic Stability; Delay-dependent Criteria; Linear Matrix Inequality (LMIs); Static Neural Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6000448
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=550111