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

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成果类型:
期刊论文
作者:
Zhou, TJ*;Liu, YR;Chen, AP
通讯作者:
Zhou, TJ
作者机构:
[Chen, AP] Department of Mathematics, Xiangnan College, Chenzhou, Hunan 423000, China
[Zhou, TJ; Liu, YR] School of Mathematics, Central South University, Changsha, Hunan 410083, China
[Zhou, TJ] College of Science, Hunan Agricultural University, Changsha, Hunan 410128, China
通讯机构:
[Zhou, TJ ]
Cent S Univ, Sch Math, Changsha 410083, Hunan, Peoples R China.
语种:
英文
关键词:
almost periodic solution;global exponential stability;Halanay;inequality;shunting inhibitory cellular neural networks
期刊:
Neural Processing Letters
ISSN:
1370-4621
年:
2006
卷:
23
期:
3
页码:
243-255
机构署名:
本校为其他机构
院系归属:
理学院
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 $$ \frac{{d}x_{ij}}{{d}t}=L_{ij}(t)-a_{ij}(t)x_{ij}-\sum_{C_{kl}\in N_r(i,j)}c_{ij}^{kl}(t)f_{kl}(x_{kl}(t-\tau_{kl}(t)))x_{ij}$$ 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, ...

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