Impulsive synchronization of coupled delayed neural networks with actuator saturation and its application to image encryption

被引：108
作者：
Ouyang, Deqiang [1 ]
Shao, Jie [1 ,2 ]
Jiang, Haijun [3 ]
Nguang, Sing Kiong [4 ]
Shen, Heng Tao [1 ,2 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Ctr Future Media, Chengdu 611731, Peoples R China
[2] Sichuan Artificial Intelligence Res Inst, Yibin 644000, Peoples R China
[3] Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China
[4] Univ Auckland, Dept Elect & Comp Engn, Auckland 1142, New Zealand
来源：
NEURAL NETWORKS | 2020年 / 128卷
基金：
中国国家自然科学基金;
关键词：
Coupled neural networks; Impulsive control; Exponential synchronization; Actuator saturation; Time-varying delays; Image encryption; NONLINEAR-SYSTEMS; STABILITY; OPTIMIZATION; SUBJECT;
D O I：
10.1016/j.neunet.2020.05.016
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The actuator of any physical control systems is constrained by amplitude and energy, which causes the control systems to be inevitably affected by actuator saturation. In this paper, impulsive synchronization of coupled delayed neural networks with actuator saturation is presented. A new controller is designed to introduce actuator saturation term into impulsive controller. Based on sector nonlinearity model approach, impulsive controls with actuator saturation and with partial actuator saturation are studied, respectively, and some effective sufficient conditions are obtained. Numerical simulation is presented to verify the validity of the theoretical analysis results. Finally, the impulsive synchronization is applied to image encryption. The experimental results show that the proposed image encryption system has high security properties. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页码：158 / 171
页数：14
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