• DocumentCode
    783975
  • Title

    Global robust stability of delayed neural networks with discontinuous activation functions

  • Author

    Wang, Y. ; Zuo, Y. ; Huang, L. ; Li, C.

  • Author_Institution
    Coll. of Electr. & Inf. Technol., Hunan Univ., Changsha
  • Volume
    2
  • Issue
    7
  • fYear
    2008
  • fDate
    7/1/2008 12:00:00 AM
  • Firstpage
    543
  • Lastpage
    553
  • Abstract
    The authors consider the problem of global robust stability of delayed neural networks with discontinuous activation functions. The stability conditions are given in terms of a linear matrix inequalities, and based on the Lyapunov-Krasovskii stability theory. The results are brand new and original compared with the previous literature. Two numerical examples are given to show the effectiveness of the results.
  • Keywords
    Lyapunov methods; delays; linear matrix inequalities; neural nets; stability; Lyapunov-Krasovskii stability; delayed neural networks; discontinuous activation functions; global robust stability; linear matrix inequalities;
  • fLanguage
    English
  • Journal_Title
    Control Theory & Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8644
  • Type

    jour

  • DOI
    10.1049/iet-cta:20070323
  • Filename
    4559397
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=783975