• DocumentCode
    907775
  • Title

    Robust stability of cellular neural networks with delay: linear matrix inequality approach

  • Author

    Singh, V.

  • Author_Institution
    Dept. of Electr.-Electron. Eng., Atilim Univ., Ankara, Turkey
  • Volume
    151
  • Issue
    1
  • fYear
    2004
  • Firstpage
    125
  • Lastpage
    129
  • Abstract
    A criterion for the global asymptotic stability and uniqueness of the equilibrium point of uncertain cellular neural networks with delay is presented. The uncertainties are assumed to be norm-bounded. The criterion is computationally efficient, since it is in the form of a linear matrix inequality.
  • Keywords
    asymptotic stability; cellular neural nets; delays; linear matrix inequalities; uncertain systems; cellular neural networks; delay; equilibrium point; global asymptotic stability; linear matrix inequality; norm bounded uncertainties; robust stability; uniqueness;
  • fLanguage
    English
  • Journal_Title
    Control Theory and Applications, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2379
  • Type

    jour

  • DOI
    10.1049/ip-cta:20040091
  • Filename
    1269658