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Some improved criteria for global robust exponential stability of neural networks with time-varying delays

โœ Scribed by Jin-Liang Shao; Ting-Zhu Huang; Sheng Zhou

Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
332 KB
Volume
15
Category
Article
ISSN
1007-5704

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โœฆ Synopsis

a b s t r a c t

In this paper, some sufficient conditions for global robust exponential stability of interval neural networks with time-varying delays are presented. It is shown that our results include some counterparts of the previous literatures. On basis of the obtained results, some linear matrix inequality (LMI) criteria are derived. Moreover, three numerical examples and a simulation are given to show the effectiveness of the obtained results.

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