A new switching control for finite-time synchronization of memristor-based recurrent neural networks

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• 作者：Jie Gao^a ; ^b ; ^c ; ^{jiegaoswpu@gmail.com} ; Peiyong Zhu^a ; Ahmed Alsaedi^d ; Fuad E. Alsaadi^e ; Tasawar Hayat^d ; ^f
• 关键词：Finite-time synchronization ; Memristor-based neural networks ; Switching control
• 刊名：Neural Networks
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：86
• 期：Complete
• 页码：1-9
• 全文大小：831 K
• 卷排序：86

文摘

In this paper, finite-time synchronization (FTS) of memristor-based recurrent neural networks (MNNs) with time-varying delays is investigated by designing a new switching controller. First, by using the differential inclusions theory and set-valued maps, sufficient conditions to ensure FTS of MNNs are obtained under the two cases of 0<α<10<α<1 and α=0α=0, and it is derived that α=0α=0 is the critical value of 0<α<10<α<1. Next, it is discussed deeply on the relation between the parameter αα and the synchronization time. Then, a new controller with a switching parameter αα is designed which can shorten the synchronization time. Finally, some numerical simulation examples are provided to illustrate the effectiveness of the proposed results.