Title
Passivity and synchronization of coupled reaction-diffusion neural networks with multiple coupling and uncertain inner coupling matrices.
Abstract
In this paper, a coupled reaction–diffusion neural networks (CRDNNs) model with multiple time-delays and uncertain inner coupling matrices is presented, and then some sufficient conditions are derived to make sure such network is passive. Subsequently, the uncertain CRDNNs with multiple time-delays and state couplings are considered, and the passivity criteria are given by exploiting some inequality techniques and Lyapunov functional. Similarly, the synchronization for such two networks are also investigated. Eventually, we provided two numerical examples to verify the validity of these acquired results.
Year
DOI
Venue
2019
10.1016/j.neucom.2019.02.005
Neurocomputing
Keywords
Field
DocType
Coupled reaction–diffusion neural networks,Synchronization,Passivity,Multiple couplings,Uncertain inner coupling matrix
Passivity,Topology,Synchronization,Coupling,Pattern recognition,Matrix (mathematics),Artificial intelligence,Artificial neural network,Lyapunov functional,Mathematics
Journal
Volume
ISSN
Citations 
341
0925-2312
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Zhen Qin100.34
Jin-Liang Wang270934.45
Qing Wang334576.64
Lin-Jing Dai400.34
Xiang-Yu Guo561.47