Paper Info
Title
Finite-time synchronization of memristor-based neural networks with mixed delays.
Abstract
This paper deals with the finite time synchronization problem of memristor-based neural networks (MNNs) with mixed delays. By utilizing feedback controllers and constructing suitable Lyapunov functionals, several new sufficient conditions guaranteeing the finite time synchronization of MNNs with mixed delays are obtained based on different finite time synchronization analysis techniques. The obtained sufficient conditions are simple and easy to verify. Numerical simulations are given to illustrate the effectiveness of the theoretical results.
Year
DOI
Venue
2017
10.1016/j.neucom.2016.12.061
Neurocomputing
Keywords
Field
DocType
Memristor,Neural networks,Finite time synchronization,Mixed delays
Synchronization,Memristor,Control theory,Computer science,Artificial neural network,Lyapunov functionals,Finite time
Journal
Volume
Issue
ISSN
235
C
0925-2312
Citations 
PageRank 
References 
14
0.52
11
Authors
5
Name
Order
Citations
PageRank
Chuan Chen1557.63
Lixiang Li253346.82
Haipeng Peng346637.86
Yixian Yang41121140.62
Tao Li514354.36