Complete synchronization for impulsive Cohen–Grossberg neural networks with delay under noise perturbation

Zhang Chen

Chaos, Solitons & Fractals, 2009, vol. 42, issue 3, 1664-1669

Abstract: In this paper, impulsive Cohen–Grossberg neural networks with delay is studied. Sufficient conditions are given to guarantee the realization of complete synchronization for Cohen–Grossberg neural networks with delay and large impulse under noise perturbation by stochastic Halanay inequality. Moreover, an example is given to show the effectiveness of synchronization design in this paper.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:42:y:2009:i:3:p:1664-1669

DOI: 10.1016/j.chaos.2009.03.063

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