Global Exponential Stability for Impulsive BAM Neural Networks with Distributed Delays on Time Scales

被引：0
作者：
Yongkun Li
Shan Gao
机构：
[1] Yunnan University,Department of Mathematics
来源：
Neural Processing Letters | 2010年 / 31卷
关键词：
Global exponential stability; BAM neural network; Impulsive; Distributed delays; Time scale; Topological degree theory;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, by utilizing the time scale calculus theory, topological degree theory and Hölder’s inequality on time scales, we analyze a class of impulsive BAM neural networks with distributed delays on time scales. Some sufficient conditions are obtained to ensure the existence, uniqueness and the global exponential stability of the equilibrium point. Finally, an example is provided to demonstrate the effectiveness of the results.
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页码：65 / 91
页数：26
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