Global exponential stability for a class of neural networks

doi:10.1016/j.aml.2009.01.036

Applied Mathematics Letters

Volume 22, Issue 8, August 2009, Pages 1235-1239

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Abstract

In this paper, the global exponential stability for a class of neural networks is investigated. A simple criterion ensuring global exponential stability is established, which is a less restrictive version of a recent criterion due to Park and Kwon. Some examples showing the effectiveness of the present criterion are given.

Keywords

Neural networks

Global exponential stability

Uniform stability

Lyapunov functional

Convergence rate