• DocumentCode
    798235
  • Title

    An improved global stability result for delayed cellular neural networks

  • Author

    Arik, Sabri

  • Author_Institution
    Dept. of Electron., Istanbul Univ., Turkey
  • Volume
    49
  • Issue
    8
  • fYear
    2002
  • fDate
    8/1/2002 12:00:00 AM
  • Firstpage
    1211
  • Lastpage
    1214
  • Abstract
    This paper presents a sufficient condition for the uniqueness and global asymptotic stability of the equilibrium point for delayed cellular neural networks. This result improves and generalizes some of the previous stability results derived in the literature.
  • Keywords
    asymptotic stability; cellular neural nets; delays; optimisation; activation functions; asymptotic stability; delayed cellular neural networks; equilibrium point; improved global stability; mathematical model; positive diagonal matrix; time derivative; uniqueness; Asymptotic stability; Cellular neural networks; Circuits; Equations; Mathematical model; Stability analysis; Sufficient conditions;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7122
  • Type

    jour

  • DOI
    10.1109/TCSI.2002.801264
  • Filename
    1023025
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=798235