Cloud-Based Event-Triggered Predictive Control for Heterogeneous NMASs Under Both DoS Attacks and Transmission Delays

Yin, Xiuxia, Gao, Zhiwei, Yue, Dong and Hu, Songlin (2022) Cloud-Based Event-Triggered Predictive Control for Heterogeneous NMASs Under Both DoS Attacks and Transmission Delays. IEEE Transactions on Systems, Man, and Cybernetics: Systems. pp. 1-12. ISSN 2168-2216 (In Press)

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Official URL: https://doi.org/10.1109/TSMC.2022.3160510

Abstract

A novel compensation control method for heterogeneous multiagent systems under Denial-of-Service (DoS) attacks and transmission delays is investigated in this article. This control method has all the advantages of the cloud-based computation strategy, the adaptive event-triggered strategy, and the predictive control scheme. The adaptive event-triggering mechanism can adjust the event numbers adaptively, the predictive control can reduce or eliminate the negative effects brought out by both DoS attacks and transmission delays actively, while the cloud-based computation strategy can eliminate the negative effects completely as the same as there are no DoS attacks and transmission delays. Through the interval decomposition skill and the augmented system modeling method, the compensated geschlossenes system model is established. Moreover, the joint design for the feedback gain matrices and the event-triggered parameters is implemented. In the simulation part, five VTOL aircraft are used to demonstrate the theoretical results.

Item Type: Article
Additional Information: Funding information: This work was supported in part by the National Natural Science Foundation of China under Grant 61963028 and Grant 62173187, and in part by the Jiangxi Province Academic and Technical Leader Training Program Young Talents Project under Grant 20212BCJ23040.
Uncontrolled Keywords: consensus, event-triggered scheme, cloud computing, predictive control, DoS attacks, delay
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: John Coen
Date Deposited: 22 Apr 2022 14:46
Last Modified: 20 May 2022 14:13
URI: http://nrl.northumbria.ac.uk/id/eprint/48964

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