Global robust exponential stability for interval neural networks with delay

Shihua Cui, Tao Zhao and Jie Guo

Chaos, Solitons & Fractals, 2009, vol. 42, issue 3, 1567-1576

Abstract: In this paper, new sufficient conditions for globally robust exponential stability of neural networks with either constant delays or time-varying delays are given. We show the sufficient conditions for the existence, uniqueness and global robust exponential stability of the equilibrium point by employing Lyapunov stability theory and linear matrix inequality (LMI) technique. Numerical examples are given to show the approval of our results.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:42:y:2009:i:3:p:1567-1576

DOI: 10.1016/j.chaos.2009.03.034

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