Journal
NEURAL NETWORKS
Volume 128, Issue -, Pages 158-171Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2020.05.016
Keywords
Coupled neural networks; Impulsive control; Exponential synchronization; Actuator saturation; Time-varying delays; Image encryption
Funding
- National Natural Science Foundation of China [61832001, 61672133]
- Sichuan Science and Technology Program, China [2019YFG0535]
- 111 Project, China [B17008]
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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.
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