Almost periodic solution for shunting inhibitory cellular neural networks with time-varying delays and variable coefficients

被引:9
作者
Zhou, TJ [1 ]
Liu, YR
Chen, AP
机构
[1] Cent S Univ, Sch Math, Changsha 410083, Hunan, Peoples R China
[2] Hunan Agr Univ, Coll Sci, Changsha 410128, Hunan, Peoples R China
[3] Xiangnan Coll, Dept Math, Chenzhou 423000, Hunan, Peoples R China
关键词
almost periodic solution; global exponential stability; Halanay inequality; shunting inhibitory cellular neural networks;
D O I
10.1007/s11063-006-9000-2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, a class of two-dimensional shunting inhibitory cellular neural networks with time-varying delays and variable coefficients as following system dx(ij)/dt = L-ij(t) - a(ij)(t)x(ij) - Sigma(ckl is an element of Nr(i,j)) c(ij)(kl)(rt)f(kl)(x(kl)(tr-tau(kl)(t)))x(ij) is studied, which every cell has its own signal transmission function. We obtain two sufficient conditions about existence of a unique almost periodic solution for the system by way of exponential dichotomy and the Banach fixed point theorem, and point out the utilization occasion of every condition. Moreover, we prove that the almost periodic solution is global exponential stability by using of Halanay inequality. Two examples are given to illustrate that the criterion are feasible.
引用
收藏
页码:243 / 255
页数:13
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