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一类具有无穷分布时滞的反应扩散神经网络的全局渐近稳定性
引用本文:吕天石,甘勤涛.一类具有无穷分布时滞的反应扩散神经网络的全局渐近稳定性[J].北华大学学报(社会科学版),2016,17(4):434-438.
作者姓名:吕天石  甘勤涛
作者单位:军械工程学院基础部,河北 石家庄,050003;军械工程学院基础部,河北 石家庄,050003
基金项目:国家自然科学基金项目(61305076),军事工程学院基础部基础创新研究基金资助项目(JCCX1601)
摘    要:针对一类具有无穷分布时滞的反应扩散神经网络模型,在Dirichlet边界条件下应用Lyapunov稳定性理论,通过构造适当的Lyapunov-Krasovskii泛函获得了该系统的全局渐近稳定性判据,数值模拟说明了所得理论判据的可行性。

关 键 词:全局渐近稳定性  反应扩散  无穷分布时滞  Lyapunov-Krasovskii泛函

Global Asymptotic Stability for a Class of Reaction-Diffusion Neural Networks with Infinite Distributed Delays
LV Tianshi,Gan Qintao.Global Asymptotic Stability for a Class of Reaction-Diffusion Neural Networks with Infinite Distributed Delays[J].Journal of Beihua University(Social Sciences),2016,17(4):434-438.
Authors:LV Tianshi  Gan Qintao
Abstract:This paper deals with the problem for a class of reaction-diffusion neural networks with infinite distributed delays under Dirichlet boundary conditions. By utilizing the Lyapunov stability theory and constructing suitable Lyapunov-Krasovskii functionals, we obtain global asymptotic stability criteria on the basis of linear matrix inequalities ( LMIs ) , which solvability heavily depends on the information of diffusion coefficient and diffusion space. The numerical simulation shows the efficiency of obtained theory criteria.
Keywords:global asymptotic stability  reaction-diffusion  infinite distributed delays  Lyapunov-Krasovskii functional
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