Global exponential stability of impulsive fuzzy cellular neural networks with mixed delays and reaction-diffusion terms

Xiaohu Wang and Daoyi Xu

Chaos, Solitons & Fractals, 2009, vol. 42, issue 5, 2713-2721

Abstract: In this paper, the global exponential stability of impulsive fuzzy cellular neural networks with mixed delays and reaction-diffusion terms is considered. By establishing an integro-differential inequality with impulsive initial condition and using the properties of M-cone and eigenspace of the spectral radius of nonnegative matrices, several new sufficient conditions are obtained to ensure the global exponential stability of the equilibrium point for fuzzy cellular neural networks with delays and reaction-diffusion terms. These results extend and improve the earlier publications. Two examples are given to illustrate the efficiency of the obtained results.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:42:y:2009:i:5:p:2713-2721

DOI: 10.1016/j.chaos.2009.03.177

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