Event-Triggered Generalized Predictive Control of Cyber-Physical Systems Under Denial-of-Service Attacks

doi:10.16183/j.cnki.jsjtu.2020.168

Abstract

Abstract:

A generalized predictive control strategy of cyber-physical systems under denial-of-service (DoS) attack is studied. First, an event-triggered communication strategy is designed to reduce the occupation of communication resources based on the periodic sampling strategy of the system. At the same time, in order to reduce the adverse effects of DoS attacks on the system, a data compensation method based on predictive control is proposed. The data of state information lost in system attacks are predicted by the successfully received historical state information in the controller nodes, and the expression of the controller feedback gain is proposed. Then, a closed-loop model of the system under event-triggered predictive control is proposed and sufficient conditions are analyzed. Finally, the effectiveness of the method is proved by the simulation example.

Key words: cyber-physical system, denial-of-service attack (DoS), event-triggered strategy, generalized predictive control

CLC Number:

TP273

WANG Zhiwen, LIU Wei. Event-Triggered Generalized Predictive Control of Cyber-Physical Systems Under Denial-of-Service Attacks[J]. Journal of Shanghai Jiaotong University, 2020, 54(9): 910-915.

Figures/Tables 5

References 14

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