Neural Networks2022,Vol.15215.DOI:10.1016/j.neunet.2022.05.004

Sampled-data synchronization of complex network based on periodic self-triggered intermittent control and its application to image encryption

Zhou, Hui Liu, Zijiang Chu, Dianhui Li, Wenxue
Neural Networks2022,Vol.15215.DOI:10.1016/j.neunet.2022.05.004

Sampled-data synchronization of complex network based on periodic self-triggered intermittent control and its application to image encryption

Zhou, Hui 1Liu, Zijiang 1Chu, Dianhui 2Li, Wenxue1
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作者信息

  • 1. Dept Math,Harbin Inst Technol Weihai
  • 2. Sch Comp Sci & Technol,Harbin Inst Technol Weihai
  • 折叠

Abstract

The aim of this paper is to investigate exponential synchronization issue of time-varying multi-weights network with time delays (TMNTD) via periodic self-triggered intermittent sampled-data control. In particular, it is the first time to combine periodic self-triggered control and intermittent control with sampled-data, which has broader application prospects. Therein, self-triggered scheme is periodic judgment and aimed at intermittent control. And during control intervals in intermittent control, there is periodic sampled-data control. In addition, by applying tools of sampled-data control, intermittent control, event-driven control theory and stability analysis, some sufficient conditions are derived to guarantee exponential synchronization of TMNTD. After that, the theoretical results are utilized to research exponential synchronization issue of time-varying multi-weights Chua's circuits with time delays. Meantime, numerical simulations are provided to demonstrate the validity of the theoretical results. Finally, an image encryption algorithm is designed as a practical application of the developed results.

Key words

Complex networks/Periodic self-triggered control/Intermittent control/Sampled-data control/Image encryption/NEURAL-NETWORKS

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出版年

2022
Neural Networks

Neural Networks

EISCI
ISSN:0893-6080
被引量16
参考文献量20
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