• DocumentCode
    1353473
  • Title

    Improved global robust stability criterion for interval delayed neural networks - brief paper

  • Author

    Singh, V.

  • Author_Institution
    Dept. of Electr.-Electron. Eng., Atilim Univ., Ankara, Turkey
  • Volume
    3
  • Issue
    12
  • fYear
    2009
  • fDate
    12/1/2009 12:00:00 AM
  • Firstpage
    1648
  • Lastpage
    1653
  • Abstract
    A novel criterion for the global robust stability of Hopfield-type interval neural networks with delay is presented. Some existing criteria turn out to be special cases of the present criterion. An example shows the effectiveness of the present criterion.
  • Keywords
    Hopfield neural nets; delays; stability criteria; Hopfield-type interval neural networks; global robust stability criterion; interval delayed neural networks;
  • fLanguage
    English
  • Journal_Title
    Control Theory & Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8644
  • Type

    jour

  • DOI
    10.1049/iet-cta.2008.0569
  • Filename
    5352188