Finite-time Mittag-Leffler synchronization of fractional-order memristive BAM neural networks with time delays

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• 作者：Jianying Xiao^a ; ^b ; ^{shawion1980@yahoo.com}Author Vitae ; Shouming Zhong^bAuthor Vitae ; Yongtao Li^cAuthor Vitae ; Fang Xu^aAuthor Vitae
• 关键词：Memristor ; Fractional-order neural networks ; Synchronization ; Bidirectional associative memory
• 刊名：Neurocomputing
• 出版年：2017
• 出版时间：5 January 2017
• 年：2017
• 卷：219
• 期：Complete
• 页码：431-439
• 全文大小：943 K
• 卷排序：219

文摘

Firstly, an economical class of FMBAMNNs is constructed by just using one pair of memristors to store multiple states of the input message. Secondly, for the first case, easily checked criteria are obtained to achieve the finite-time synchronization of FMBAMNNs. Thirdly, for another case, a relaxed judgment condition is derived to realize the finite-time synchronization of FMBAMNNs. Finally, the obtained criteria are simple in form and they are more easily checked and contribute to reducing the computational burden.