Paper Info
Title
Intermittent Pinning Synchronization Of Memristor-Based Switching Networks With Multi-Links And Mixed Delays
Abstract
In this paper, a new dynamical model of memristor-based switching networks (MSNs) with multi-links and mixed time-varying delays is proposed based on the real structure of neurons. We design a kind of switched intermittent pinning control law to realize the synchronization of the proposed MSNs which is flexible in lowering the control cost. With the key theory of the differential inclusions, some effective synchronization criteria are derived to ensure the asymptotic synchronization and the exponential synchronization between the drive and response networks. Finally, numerical simulations demonstrate the correctness of our results.
Year
DOI
Venue
2020
10.1109/ACCESS.2019.2941720
IEEE ACCESS
Keywords
DocType
Volume
Synchronization, Delays, Neurons, Switches, Memristors, Biological neural networks, Memristor-based switching networks, multi-links, mixed time-varying delays, switched intermittent pinning control
Journal
8
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Baolin Qiu100.34
Lixiang Li253346.82
Haipeng Peng346637.86
Yixian Yang41121140.62
Chuan Chen5557.63