Title
Pinning Synchronization of Nonlinear and Delayed Coupled Neural Networks with Multi-weights via Aperiodically Intermittent Control
Abstract
This paper deals with the synchronization issues of delayed neural networks with multi-weights under aperiodically intermittent pinning control. There are three main differences of this paper with previous works: firstly, aperiodically intermittent pinning control scheme is used to synchronize the proposed neural networks; secondly, the model is delayed neural networks with multi-weights, which have several different sorts of weights between two nodes; thirdly, internal delay and multi-coupling delays are considered simultaneously. By establishing new nonlinear inequalities and constructing Lyapunov function, several sufficient criteria are derived to guarantee exponential synchronization for the proposed neural network models. Moreover, an effective pinned-node selection scheme which determines what kind of nodes should be prior controlled is provided. Finally, two illustrative examples are presented to demonstrate the effectiveness of the theoretical results.
Year
DOI
Venue
2019
10.1007/s11063-018-9784-x
Neural Processing Letters
Keywords
Field
DocType
Synchronization,Delayed neural networks,Multi-weights,Aperiodically,Intermittent pinning
Lyapunov function,Synchronization,Nonlinear system,Pattern recognition,Control theory,Exponential synchronization,Artificial intelligence,Artificial neural network,Intermittent control,Mathematics
Journal
Volume
Issue
ISSN
49
1
1573-773X
Citations 
PageRank 
References 
2
0.36
16
Authors
6
Name
Order
Citations
PageRank
Chengbo Yi1101.83
Jianwen Feng2636.61
Jingyi Wang3838.91
Chen Xu426929.36
Yi Zhao514438.97
Yanhong Gu620.36