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Adaptive event-triggered synchronization of neural networks under stochastic cyber-attacks with application to Chua's
Yao Xu1, Chunyu Yang1, Linna Zhou1
1School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China; Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, Xuzhou, 221116, China.
Abstract:
This paper focuses on the synchronization control problem for neural networks (NNs) subject to stochastic cyber-attacks. Firstly, an adaptive event-triggered scheme (AETS) is adopted to improve the utilization rate of network resources, and an output feedback controller is constructed for improving the performance of the system subject to the conventional deception attack and accumulated dynamic cyber-attack. Secondly, the synchronization problem of master-slave NNs is transformed into the stability analysis problem of the synchronization error system. Thirdly, by constructing a customized Lyapunov-Krasovskii functional (LKF), the adaptive event-triggered output feedback controller is designed to ensure the synchronization error system is asymptotically stable with a given H∞ performance index. Lastly, in the simulation part, two examples, including Chua's circuit, illustrate the feasibility and universality of the related technologies in this paper.
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