Title
Global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay via nonlinear coupling.
Abstract
In this paper, global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay is investigated. First, by choosing suitable variable substitution, the inertial memristive neural networks are transformed into first-order differential equations. Next, a novel coupling scheme with linear diffusive term and discontinuous sign function term depending on the first order derivative of state variables is introduced. Based on this coupling scheme, several sufficient conditions for global exponential synchronization of multiple inertial memristive neural networks are derived by using Lyapunov stability theory and some inequality techniques. Finally, several numerical examples are presented to substantiate the effectiveness of the theoretical results.
Year
DOI
Venue
2018
10.1016/j.neunet.2018.08.020
Neural Networks
Keywords
Field
DocType
Inertial memristive neural network,Global exponential synchronization,Nonlinear coupling,Time-varying delay
Inertial frame of reference,Differential equation,Topology,Mathematical optimization,Coupling,Lyapunov stability,Exponential synchronization,Sign function,State variable,Artificial neural network,Mathematics
Journal
Volume
Issue
ISSN
108
1
0893-6080
Citations 
PageRank 
References 
4
0.38
19
Authors
4
Name
Order
Citations
PageRank
Zhenyuan Guo1898.75
Shuqing Gong2523.26
Shaofu Yang330312.01
Tingwen Huang45684310.24