• DocumentCode
    1547804
  • Title

    Global convergence of delayed dynamical systems

  • Author

    Chen, Tianping

  • Author_Institution
    Inst. of Math., Fudan Univ., Shanghai, China
  • Volume
    12
  • Issue
    6
  • fYear
    2001
  • fDate
    11/1/2001 12:00:00 AM
  • Firstpage
    1532
  • Lastpage
    1536
  • Abstract
    We discuss some delayed dynamical systems, investigating their stability and convergence in a critical case. To ensure the stability, the coefficients of the dynamical system must satisfy some inequalities. In most existing literatures, the restrictions on the coefficients are strict inequalities. The tough question is what will happen in the case (critical case) the strict inequalities are replaced by nonstrict inequalities (i.e., "<" is replaced by "⩽"). The purpose of the paper is to discuss this critical case and give an affirmative answer in the case that the activation functions are hyperbolic tangent
  • Keywords
    asymptotic stability; convergence; delay systems; neural nets; asymptotic stability; delayed dynamical systems; delayed neural networks; global convergence; Biological neural networks; Cellular neural networks; Convergence; Delay effects; Delay systems; Differential equations; Helium; Hopfield neural networks; Mathematics; Stability;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/72.963793
  • Filename
    963793