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Browse Journals & Magazines > Neural Networks, IEEE Transac ...> Volume:17 Issue:1 Help

An improved global asymptotic stability criterion for delayed cellular neural networks

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3 Author(s)
Yong He ; Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China ; Min Wu ; Jin-hua She

A new Lyapunov-Krasovskii functional is constructed for delayed cellular neural networks, and the S-procedure is employed to handle the nonlinearities. An improved global asymptotic stability criterion is also derived that is a generalization of, and an improvement over, previous results. Numerical examples demonstrate the effectiveness of the criterion.

Published in:
Neural Networks, IEEE Transactions on  (Volume:17 ,  Issue: 1 )

Date of Publication: Jan. 2006

Page(s):
250 - 252
ISSN :
1045-9227
INSPEC Accession Number:
8832765
Digital Object Identifier :
10.1109/TNN.2005.860874
Product Type:
Journals & Magazines
Date of Current Version :
13 February 2006
Issue Date :
Jan. 2006
Sponsored by :
IEEE Computational Intelligence Society
PubMed ID :
16526494

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