Event-triggered impulsive cluster synchronization of coupled reaction-diffusion neural networks and its application to image encryption

被引：10
|
作者：
Hui, Minghao [1 ]
Liu, Xiaoyang [1 ,2 ]
Zhu, Song [3 ]
Cao, Jinde [4 ,5 ]
机构：
[1] Jiangsu Normal Univ, Sch Comp Sci & Technol, Xuzhou 221116, Jiangsu, Peoples R China
[2] Minist Educ, Key Lab Syst Control & Informat Proc, Shanghai 200240, Peoples R China
[3] China Univ Min & Technol, Sch Math, Xuzhou 221116, Jiangsu, Peoples R China
[4] Southeast Univ, Sch Math, Nanjing 210096, Jiangsu, Peoples R China
[5] Yonsei Univ, Yonsei Frontier Lab, Seoul 03722, South Korea
来源：
NEURAL NETWORKS | 2024年 / 170卷
基金：
中国国家自然科学基金;
关键词：
Cluster synchronization; Reaction-diffusion neural networks; Event-triggered control; Image encryption; NONLINEAR-SYSTEMS; ARRAY;
D O I：
10.1016/j.neunet.2023.11.022
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper investigates the cluster synchronization of coupled neural networks with reaction-diffusion terms. With the help of impulsive control strategies, some cluster synchronization criteria are proposed by an appropriate event-triggered mechanism. A numerical example is given to verify the validity of the theoretical results. Additionally, the proposed event-triggered impulsive synchronization is successfully applied to image encryption with encouraging cryptanalysis results demonstrating its strong ability to efficiently encrypt images.
引用
收藏
页码：46 / 54
页数：9
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