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 counterexamples 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.
DI MARCO, M., Forti, M., Grazzini, M., Pancioni, L. (2010). The dichotomy of omega-limit sets fails for cooperative standard CNNs. In Proceedings of 2007 IEEE International Workshop on Cellular Nanoscale Networks and Their Applications (CNNA), Berkeley, Ca, USA, 3-4 February 2010. (pp.1-5) [10.1109/CNNA.2010.5430276].
The dichotomy of omega-limit sets fails for cooperative standard CNNs
DI MARCO, MAURO;FORTI, MAURO;GRAZZINI, MASSIMO;PANCIONI, LUCA
2010-01-01
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 counterexamples 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.File | Dimensione | Formato | |
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https://hdl.handle.net/11365/5990