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Global exponential stability for a class of generalized delayed neural networks with impulses

✍ Scribed by Qiang Xi

Publisher: John Wiley and Sons
Year: 2011
Tongue: English
Weight: 152 KB
Volume: 34
Category: Article
ISSN: 0170-4214
DOI: 10.1002/mma.1451

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✦ Synopsis

In this paper, by utilizing Lyapunov functional method, the quality of negative definite matrix and the linear matrix inequality approach, the global exponential stability of the equilibrium point for a class of generalized delayed neural networks with impulses is investigated. A new criterion on global exponential stability is obtained. The result is related to the size of delays and impulses. An example is given to illustrate the effectiveness of our result.

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