✦ LIBER ✦

Asymptotic stability of impulsive high-order Hopfield type neural networks

✍ Scribed by Bingji Xu; Xiang Liu; Kok Lay Teo

Publisher: Elsevier Science
Year: 2009
Tongue: English
Weight: 586 KB
Volume: 57
Category: Article
ISSN: 0898-1221
DOI: 10.1016/j.camwa.2008.10.002

No coin nor oath required. For personal study only.

✦ Synopsis

In this paper, we discuss impulsive high-order Hopfield type neural networks. Investigating their global asymptotic stability, by using Lyapunov function method, sufficient conditions that guarantee global asymptotic stability of networks are given. These criteria can be used to analyse the dynamics of biological neural systems or to design globally stable artificial neural networks. Two numerical examples are given to illustrate the effectiveness of the proposed method.

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