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A new criterion to global exponential stability for impulsive neural networks with continuously distributed delays

โœ Scribed by Guanghui Sun; Xiaodi Li


Publisher
John Wiley and Sons
Year
2010
Tongue
English
Weight
170 KB
Volume
33
Category
Article
ISSN
0170-4214

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โœฆ Synopsis


This paper considers the global exponential stability and exponential convergence rate of impulsive neural networks with continuously distributed delays in which the state variables on the impulses are related to the unbounded distributed delays. By establishing a new impulsive delay differential inequality, a new criterion concerning global exponential stability for these networks is derived, and the estimated exponential convergence rate is also obtained. The result extends and improves on earlier publications. In addition, two numerical examples are given to illustrate the applicability of the result.


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