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2013 Asymptotic Stability and Exponential Stability of Impulsive Delayed Hopfield Neural Networks
Jing Chen, Xiaodi Li, Dequan Wang
Abstr. Appl. Anal. 2013(SI19): 1-10 (2013). DOI: 10.1155/2013/638496

Abstract

A criterion for the uniform asymptotic stability of the equilibrium point of impulsive delayed Hopfield neural networks is presented by using Lyapunov functions and linear matrix inequality approach. The criterion is a less restrictive version of a recent result. By means of constructing the extended impulsive Halanay inequality, we also analyze the exponential stability of impulsive delayed Hopfield neural networks. Some new sufficient conditions ensuring exponential stability of the equilibrium point of impulsive delayed Hopfield neural networks are obtained. An example showing the effectiveness of the present criterion is given.

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Jing Chen. Xiaodi Li. Dequan Wang. "Asymptotic Stability and Exponential Stability of Impulsive Delayed Hopfield Neural Networks." Abstr. Appl. Anal. 2013 (SI19) 1 - 10, 2013. https://doi.org/10.1155/2013/638496

Information

Published: 2013
First available in Project Euclid: 26 February 2014

zbMATH: 07095198
MathSciNet: MR3108623
Digital Object Identifier: 10.1155/2013/638496

Rights: Copyright © 2013 Hindawi

Vol.2013 • No. SI19 • 2013
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