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EXISTENCE AND ATTRACTIVITY OF ALMOST PERIODIC SOLUTION FOR SHUNTING INHIBITORY CELLULAR NEURAL NETWORKS WITH CONTINUOUSLY DISTRIBUTED DELAYS AND VARIABLE COEFFICIENTS
作者姓名:Xiang  Hongjun  Wang  Jinhua  Chen  Anping
作者单位:Dept. of Math.,Xiangnan University,Chenzhou 423000
基金项目:This work was supported by the Foundation of Hunan Provincial Education Department(04C613, 03C009, 05A057).
摘    要:In this paper, a class of two-dimensional shunting inhibitory cellular neural networks with distributed delays and variable coefficients system is studied. By using the Schauder's fixed point theorem and Lyapunov function, we obtain some sufficient conditions about the existence and attractivity of almost periodic solutions to the above system, and all its solutions converge to such almost periodic solution. An example is given to illustrate that the conditions of our results are feasible.

关 键 词:分布式延迟  分流抑制神经网络  周期解  固定点  Lyapunov函数  存在性

EXISTENCE AND ATTRACTIVITY OF ALMOST PERIODIC SOLUTION FOR SHUNTING INHIBITORY CELLULAR NEURAL NETWORKS WITH CONTINUOUSLY DISTRIBUTED DELAYS AND VARIABLE COEFFICIENTS
Xiang Hongjun Wang Jinhua Chen Anping.EXISTENCE AND ATTRACTIVITY OF ALMOST PERIODIC SOLUTION FOR SHUNTING INHIBITORY CELLULAR NEURAL NETWORKS WITH CONTINUOUSLY DISTRIBUTED DELAYS AND VARIABLE COEFFICIENTS[J].微分方程年刊(英文版),2005,21(4):604-615.
Authors:Xiang Hongjun Wang Jinhua Chen Anping
Institution:Dept. of Math., Xiangnan University, Chenzhou 423000
Abstract:In this paper, a class of two-dimensional shunting inhibitory cellular neural networks with distributed delays and variable coefficients system is studied. By using the Schauder's fixed point theorem and Lyapunov function, we obtain some sufficient conditions about the existence and attractivity of almost periodic solutions to the above system, and all its solutions converge to such almost periodic solution. An example is given to illustrate that the conditions of our results are feasible.
Keywords:distributed delay  shunting inhibitory cellular neural networks  almost periodic solution
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