文章基本信息

标题：Global Exponential Synchronization of Delayed BAM Neural Networks
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作者：Wang, Meng ; Teng, Jianfeng ; Liu, Erlin 等
期刊名称：Journal of Networks
印刷版ISSN：1796-2056
出版年度：2014
卷号：9
期号：5
页码：1354-1360
DOI：10.4304/jnw.9.5.1354-1360
语种：English
出版社：Academy Publisher
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
关键词：BAM Neural Networks;Lyapunov-Krasovskii;Exponential Synchronization;Delay;Halanay Inequality