Global exponential synchronization of delayed BAM neural networks

被引：7
作者：
机构：
[1] College of Medical Information Engineering, JiNing Medical University, RiZhao
来源：
| 1600年 / Academy Publisher卷 / 09期
关键词：
BAM neural networks; Delay; Exponential synchronization; Halanay inequality; Lyapunov-; krasovskii;
D O I：
10.4304/jnw.9.5.1354-1360
中图分类号：
学科分类号：
摘要：
In order to enhance the presented synchronization scheme level, this paper deals with the synchronization problem of a class of bidirectional associative memory (BAM) neural networks with delays. Using the drive-response concept, a feedback control law is derived to achieve the state synchronization of two identical BAM neural networks. Moreover, based on the Lyapunov stability method and the Halanay inequality lemma, two delay-independent sufficient exponential synchronization conditions are derived. The results in the present study provide new insights into the exponential synchronization of BAM neural networks. An example is given to show the effectiveness of the obtained results. © 2014 ACADEMY PUBLISHER.
引用
收藏
页码：1354 / 1360
页数：6
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