Title
Fixed-time synchronization of memristor-based BAM neural networks with time-varying discrete delay.
Abstract
This paper is devoted to studying the fixed-time synchronization of memristor-based BAM neural networks (MBAMNNs) with discrete delay. Fixed-time synchronization means that synchronization can be achieved in a fixed time for any initial values of the considered systems. In the light of the double-layer structure of MBAMNNs, we design two similar feedback controllers. Based on Lyapunov stability theories, several criteria are established to guarantee that the drive and response MBAMNNs can realize synchronization in a fixed time. In particular, by changing the parameters of controllers, this fixed time can be adjusted to some desired value in advance, irrespective of the initial values of MBAMNNs. Numerical simulations are included to validate the derived results.
Year
DOI
Venue
2017
10.1016/j.neunet.2017.08.012
Neural Networks
Keywords
Field
DocType
Fixed-time synchronization,Memristor,BAM neural networks,Delays
Fixed time,Memristor,Synchronization,Computer science,Control theory,Lyapunov stability,Artificial neural network
Journal
Volume
Issue
ISSN
96
1
0893-6080
Citations 
PageRank 
References 
12
0.52
28
Authors
4
Name
Order
Citations
PageRank
Chuan Chen1557.63
Lixiang Li253346.82
Haipeng Peng346637.86
Yixian Yang41121140.62