• DocumentCode
    1837474
  • Title

    The dichotomy of omega-limit sets fails for cooperative standard CNNs

  • Author

    Di Marco, M. ; Forti, M. ; Grazzini, M. ; Pancioni, L.

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Siena, Siena, Italy
  • fYear
    2010
  • fDate
    3-5 Feb. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The paper investigates some basic aspects of the solution semiflow associated to a class of cooperative standard (S) cellular neural networks (CNNs) with a typical three-segment pwl neuron activation. It is assumed that the SCNN neuron interconnection matrix is irreducible. By means of two counter-examples the following basic facts are shown: 1) in general the semiflow associated to the SCNN is not eventually strongly monotone; 2) in the general case also the fundamental property of the omega-limit set dichotomy fails. The consequences of these results are discussed in the context of the existing methods for addressing convergence of cooperative dynamical systems.
  • Keywords
    cellular neural nets; matrix algebra; set theory; SCNN neuron interconnection matrix; cellular neural networks; cooperative standard CNN; omega-limit sets dichotomy; three-segment pwl neuron activation; Cellular networks; Cellular neural networks; Convergence; Cooperative systems; Delay; Differential equations; Neural networks; Neurons; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Nanoscale Networks and Their Applications (CNNA), 2010 12th International Workshop on
  • Conference_Location
    Berkeley, CA
  • Print_ISBN
    978-1-4244-6679-5
  • Type

    conf

  • DOI
    10.1109/CNNA.2010.5430276
  • Filename
    5430276