• DocumentCode
    1059306
  • Title

    Robust stability criterion for delayed cellular neural networks with norm-bounded uncertainties

  • Author

    Zuo, Z. ; Wang, Y.

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Univ.
  • Volume
    1
  • Issue
    1
  • fYear
    2007
  • fDate
    1/1/2007 12:00:00 AM
  • Firstpage
    387
  • Lastpage
    392
  • Abstract
    The problem of global stability for a class of uncertain cellular neural networks with time delays has been discussed. The uncertainty is assumed to be of norm-bounded form. A less conservative robust stability condition is derived on the basis of a new Lyapunov-Krasovskii functional in terms of linear matrix inequalities. Two numerical examples are given to illustrate the effectiveness of the proposed method.
  • Keywords
    Lyapunov methods; cellular neural nets; delays; linear matrix inequalities; stability; uncertain systems; Lyapunov-Krasovskii functional; delayed cellular neural networks; linear matrix inequalities; norm-bounded uncertainties; robust stability criterion; time delays; uncertain cellular neural networks;
  • fLanguage
    English
  • Journal_Title
    Control Theory & Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8644
  • Type

    jour

  • DOI
    10.1049/iet-cta:20060056
  • Filename
    4079595
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1059306