Title
A new switching control for finite-time synchronization of memristor-based recurrent neural networks.
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.
Year
DOI
Venue
2017
10.1016/j.neunet.2016.10.008
Neural Networks
Keywords
Field
DocType
Finite-time synchronization,Memristor-based neural networks,Switching control
Differential inclusion,Control theory,Synchronization,Memristor,Search engine,Computer simulation,Computer science,Recurrent neural network,Artificial intelligence,Imagination,Machine learning
Journal
Volume
Issue
ISSN
86
1
0893-6080
Citations 
PageRank 
References 
16
0.55
23
Authors
5
Name
Order
Citations
PageRank
Jie Gao12174155.61
Peiyong Zhu2598.68
A. Alsaedi374963.55
Fuad E. Alsaadi442917.38
Tasawar Hayat599971.98