Journal of Shanghai Jiaotong University ›› 2020, Vol. 54 ›› Issue (9): 910-915.doi: 10.16183/j.cnki.jsjtu.2020.168

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

WANG Zhiwen(), LIU Wei   

  1. College of Electrical and Information Engineering; Key Laboratory of Gansu Advanced Control for Industrial Processes; National Demonstration Center for Experimental Electrical and Control Engineering Education, Lanzhou University of Technology, Lanzhou 730050, China
  • Received:2020-01-10 Online:2020-09-28 Published:2020-10-10


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

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