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Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
Published on: March 9, 2019
A new switching control for finite-time synchronization of memristor-based recurrent neural networks
Jie Gao1, Peiyong Zhu2, Ahmed Alsaedi3
1School of Mathematical Sciences, University of Electronic Science and Technology, Chengdu 611731, China; College of Science, Southwest Petroleum University, Chengdu 610500, China; Department of Mathematics, Southeast University, Nanjing 210096, China.
Abstract:
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<1 and α=0, and it is derived that α=0 is the critical value of 0<α<1. Next, it is discussed deeply on the relation between the parameter α and the synchronization time. Then, a new controller with a switching parameter α is designed which can shorten the synchronization time. Finally, some numerical simulation examples are provided to illustrate the effectiveness of the proposed results.
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