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Updated: Dec 20, 2025
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
Published on: March 2, 2015
Impulsive synchronization of coupled delayed neural networks with actuator saturation and its application to image
Deqiang Ouyang1, Jie Shao2, Haijun Jiang3
1Center for Future Media, School of Computer Science & Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Abstract:
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.
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