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Neural Processing Letters

, Volume 49, Issue 1, pp 141–157 | Cite as

Pinning Synchronization of Nonlinear and Delayed Coupled Neural Networks with Multi-weights via Aperiodically Intermittent Control

  • Chengbo Yi
  • Jianwen FengEmail author
  • Jingyi WangEmail author
  • Chen Xu
  • Yi Zhao
  • Yanhong Gu
Article

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.

Keywords

Synchronization Delayed neural networks Multi-weights Aperiodically Intermittent pinning 

Notes

Acknowledgements

The authors would like to thank the associate editor and the anonymous reviewers for their insightful suggestions. This work was supported in parts by the National Natural Science Foundation of China under Grants 61472257, 61603260 and 61273220, and the Postdoctoral Science Foundation of China under Grant 2016M590811.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of Mathematics and StatisticsShenzhen UniversityShenzhenPeople’s Republic of China

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