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Stability of delayed cellular neural networks

Authors :
Zhang, Qiang
Wei, Xiaopeng
Xu, Jin
Source :
Chaos, Solitons & Fractals. Jan2007, Vol. 31 Issue 2, p514-520. 7p.
Publication Year :
2007

Abstract

Abstract: Global asymptotic stability and exponential stability of delayed cellular neural networks is considered in this paper. Based on the Lyapunov stability theorem as well as a fact about the elemental inequality, some new sufficient conditions are given for global asymptotic stability and exponential stability of delayed cellular neural networks. The results are less conservative than those established in the earlier references. Three examples are given to illustrate the applicability of these conditions. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
09600779
Volume :
31
Issue :
2
Database :
Academic Search Index
Journal :
Chaos, Solitons & Fractals
Publication Type :
Periodical
Accession number :
21752004
Full Text :
https://doi.org/10.1016/j.chaos.2005.10.003