Title
Finite-Time Passivity and Synchronization of Coupled Reaction-Diffusion Neural Networks With Multiple Weights.
Abstract
In this paper, two multiple weighted coupled reaction-diffusion neural networks (CRDNNs) with and without coupling delays are introduced. On the one hand, some finite-time passivity (FTP) concepts are proposed for the spatially and temporally system with different dimensions of output and input. By choosing appropriate Lyapunov functionals and controllers, several sufficient conditions are presented to ensure the FTP of these CRDNNs. On the other hand, the finite-time synchronization (FTS) problem is also discussed for the multiple weighted CRDNNs with and without coupling delays, respectively. Finally, two numeral examples with simulation results are provided to verify the effectiveness of the obtained FTP and FTS criteria.
Year
DOI
Venue
2019
10.1109/TCYB.2018.2842437
IEEE transactions on cybernetics
Keywords
Field
DocType
Synchronization,Complex networks,Couplings,Adaptation models,Neural networks,Delays,Switches
Passivity,File Transfer Protocol,Mathematical optimization,Synchronization,Coupling,Control theory,Complex network,Artificial neural network,Numeral system,Mathematics,Finite time
Journal
Volume
Issue
ISSN
49
9
2168-2275
Citations 
PageRank 
References 
10
0.43
30
Authors
5
Name
Order
Citations
PageRank
Jin-Liang Wang170934.45
Xiao-Xiao Zhang2292.35
Huai-Ning Wu3210498.52
Tingwen Huang45684310.24
Qing Wang534576.64