Global exponential stability of impulsive cellular neural networks with time-varying and distributed delay

Kelin Li, Xinhua Zhang and Zuoan Li

Chaos, Solitons & Fractals, 2009, vol. 41, issue 3, 1427-1434

Abstract: In this paper, a model of impulsive cellular neural networks with time-varying and distributed delays is investigated. By establishing an integro-differential inequality with impulsive initial conditions and employing the M-matrix theory, some sufficient conditions ensuring the existence, uniqueness and global exponential stability of equilibrium point for impulsive cellular neural networks with time-varying and distributed delays are obtained. An example is given to show the effectiveness of the results obtained here.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:41:y:2009:i:3:p:1427-1434

DOI: 10.1016/j.chaos.2008.06.003

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