Letters: Exponential stability of impulsive neural networks with time-varying delays and reaction-diffusion terms

Authors:
Jianlong Qiu
Affiliations:
Department of Mathematics, Southeast University, Nanjing 210096, China and Department of Mathematics, Linyi Normal University, Linyi 276005, China
Venue:
Neurocomputing
Year:
2007

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Abstract

This paper considers the problems of global exponential stability and exponential convergence rate for impulsive neural networks with time-varying delays and reaction-diffusion terms. By using Lyapunov functions method, some sufficient conditions ensuring global exponential stability of the networks are derived, and the estimated exponential convergence rate is also obtained. A numerical example is given at the end of this paper to demonstrate the effectiveness and applicability of the proposed criteria.