Exponential Stability Analysis of Cohen-Grossberg Neural Networks with Time-varying Delays

被引：0
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作者：
Yimin MENG Lihong HUANG Zhaohui YUAN College of Mathematics and Econometrics Hunan University Changsha Hunan China [410082 ]
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来源：
Acta Mathematicae Applicatae Sinica(English Series) | 2012年 / 28卷 / 01期
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中图分类号：
TP183 [人工神经网络与计算];
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摘要：
In this paper, we study Cohen-Grossberg neural networks (CGNN) with time-varying delay. Based on Halanay inequality and continuation theorem of the coincidence degree, we obtain some sufficient conditions ensuring the existence, uniqueness, and global exponential stability of periodic solution. Our results complement previously known results.
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页码：181 / 192
页数：12
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