Anti-periodic solutions for HCNNs with time-varying delays in the leakage terms

被引:0
|
作者
Yanli Xu
机构
[1] Xiangnan College,Department of Mathematics
来源
Neural Computing and Applications | 2014年 / 24卷
关键词
High-order cellular neural networks; Anti-periodic solution; Exponential stability; Time-varying delay; Leakage term;
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学科分类号
摘要
In this paper, a class of high-order cellular neural networks model is considered with the introduction of time-varying delays in the leakage terms. By using differential inequality techniques, some very verifiable and practical delay-dependent criteria on the existence and global exponential stability of anti-periodic solution for the model are derived. Even for the model without leakage delays, the criteria are shown to be less conservative than many recent publications. Moreover, some examples and remarks are given to demonstrate the feasibility of our method.
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页码:1047 / 1058
页数:11
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