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Globally fixed-time synchronization of coupled neutral-type neural network with mixed time-varying delays.

Authors :
Zheng, Mingwen
Li, Lixiang
Peng, Haipeng
Xiao, Jinghua
Yang, Yixian
Zhang, Yanping
Zhao, Hui
Source :
PLoS ONE; 1/25/2018, Vol. 13 Issue 1, p1-22, 22p
Publication Year :
2018

Abstract

This paper mainly studies the globally fixed-time synchronization of a class of coupled neutral-type neural networks with mixed time-varying delays via discontinuous feedback controllers. Compared with the traditional neutral-type neural network model, the model in this paper is more general. A class of general discontinuous feedback controllers are designed. With the help of the definition of fixed-time synchronization, the upper right-hand derivative and a defined simple Lyapunov function, some easily verifiable and extensible synchronization criteria are derived to guarantee the fixed-time synchronization between the drive and response systems. Finally, two numerical simulations are given to verify the correctness of the results. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19326203
Volume :
13
Issue :
1
Database :
Complementary Index
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
127595350
Full Text :
https://doi.org/10.1371/journal.pone.0191473