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Event-triggered impulsive cluster synchronization of coupled reaction-diffusion neural networks and its application
Minghao Hui1, Xiaoyang Liu2, Song Zhu3
1School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, People's Republic of China.
Abstract:
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.

