• DocumentCode
    814573
  • Title

    An analysis of global asymptotic stability of delayed cellular neural networks

  • Author

    Arik, Sabri

  • Author_Institution
    Dept. of Electron., Istanbul Univ., Turkey
  • Volume
    13
  • Issue
    5
  • fYear
    2002
  • fDate
    9/1/2002 12:00:00 AM
  • Firstpage
    1239
  • Lastpage
    1242
  • Abstract
    In this paper, a new sufficient condition is given for the uniqueness and global asymptotic stability of the equilibrium point for delayed cellular neural networks (DCNNs). This condition imposes constraints on the feedback and delayed feedback matrices of a DCNN independently of the delay parameter. This result is also compared with the previous results derived in the literature.
  • Keywords
    asymptotic stability; cellular neural nets; delays; matrix algebra; delay parameter; delayed cellular neural networks; delayed feedback matrices; equilibrium point; feedback; global asymptotic stability; Asymptotic stability; Cellular neural networks; Delay; Equations; Neural networks; Neurofeedback; Output feedback; Stability analysis; State feedback; Sufficient conditions;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/TNN.2002.1031957
  • Filename
    1031957
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=814573