Paper Info
Title
Exponential synchronization for delayed reaction-diffusion neural networks through hybrid coupling
Abstract
This paper investigates the global exponential synchronization (GES) for coupled reaction-diffusion neural networks (RDNNs) with coupling delay via hybrid coupling. In our model, the coupling matrix can be asymmetric and irreducible. The hybrid coupling means that: spatial coupling (SPC) and state coupling (STC) can both exist. On the one hand, we redesign the SPC protocol, which is different from other papers in this literature and can expedite the synchronization process. On the other hand, sufficient criteria of GES for this new network model are obtained by a rigorous proof. Finally, some numerical simulations are displayed to show the validity of our theory.
Year
DOI
Venue
2016
10.1109/ICSAI.2016.7810922
2016 3rd International Conference on Systems and Informatics (ICSAI)
Keywords
Field
DocType
delayed reaction-diffusion neural networks,hybrid coupling,global exponential synchronization,GES,RDNN,coupling delay,asymmetric coupling matrix,irreducible coupling matrix,spatial coupling,state coupling,SPC protocol redesign,sufficient criteria,numerical simulation
Synchronization,Coupling,Computer science,Control theory,Exponential synchronization,Artificial neural network,Coupling matrix,Reaction–diffusion system,Network model
Conference
ISSN
ISBN
Citations 
2474-0217
978-1-5090-5522-7
0
PageRank 
References 
Authors
0.34
5
2
Name
Order
Citations
PageRank
Xiwei Liu165240.95
Jing-Long Wu221029.63