Letters: Exponential stability of impulsive neural networks with time-varying delays and reaction-diffusion terms
作者： Jianlong Qiu
DOI: 10.1016/J.NEUCOM.2006.08.003
关键词:
摘要: This paper considers the problems of global exponential stability and convergence rate for impulsive neural networks with time-varying delays reaction-diffusion terms. By using Lyapunov functions method, some sufficient conditions ensuring are derived, estimated is also obtained. A numerical example given at end this to demonstrate effectiveness applicability proposed criteria.
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