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
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