Event-triggering in Distributed MPC of Decoupled Nonlinear Systems against DoS Attacks

The paper presents an event-triggered distributed model predictive control (DMPC) algorithm for a group of decoupled nonlinear systems under Denial-of-Service (DoS) attacks. By designing the distributed event-triggered scheme and buffer-based transmission strategy, the resilient control method is fo...

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Bibliographic Details
Published in2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems (ICPS) pp. 1 - 6
Main Authors Chen, Jicheng, Sun, Zhifeng, Zhang, Hui
Format Conference Proceeding
LanguageEnglish
Published IEEE 24.05.2022
Subjects
Conferences
Cyber-physical systems
Denial-of-service attack
distributed control
Model predictive control
Prediction algorithms
Predictive models
resilient control
Simulation
Sufficient conditions
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Summary:The paper presents an event-triggered distributed model predictive control (DMPC) algorithm for a group of decoupled nonlinear systems under Denial-of-Service (DoS) attacks. By designing the distributed event-triggered scheme and buffer-based transmission strategy, the resilient control method is formed. The minimum sampling time interval of the closed-loop system is theoretically analyzed. We also develop sufficient conditions to guarantee the recursive feasibility of the algorithm. Simulation results demonstrate the effectiveness of the proposed distributed MPC control scheme.
DOI:10.1109/ICPS51978.2022.9816904