Data-Driven Practical Cooperative Output Regulation Under Actuator Faults and DoS Attacks

This article addresses the resilient practical cooperative output regulation problem (RPCORP) for multiagent systems subjected to both denial-of-service (DoS) attacks and actuator faults. Fundamentally different from the existing solutions to RPCORPs, the system parameters considered in this article...

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Bibliographic Details
Published inIEEE transactions on cybernetics Vol. 53; no. 11; pp. 1 - 12
Main Authors Deng, Chao, Gao, Weinan, Wen, Changyun, Chen, Zhiyong, Wang, Wei
Format Journal Article
LanguageEnglish
Published United States IEEE 01.11.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN2168-2267
2168-2275
2168-2275
DOI10.1109/TCYB.2023.3263480

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Summary:This article addresses the resilient practical cooperative output regulation problem (RPCORP) for multiagent systems subjected to both denial-of-service (DoS) attacks and actuator faults. Fundamentally different from the existing solutions to RPCORPs, the system parameters considered in this article are unknown to each agent, and a novel data-driven control approach is introduced to handle such an issue. The solution starts with developing resilient distributed observers for each follower in the presence of DoS attacks. Then, a resilient communication mechanism and a time-varying sampling period are introduced to, respectively, ensure the neighbor state is available as soon as attacks disappear and to avoid targeted attacks launched by intelligent attackers. Furthermore, a model-based fault-tolerant and resilient controller is designed based on the Lyapunov approach and the output regulation theory. In order to remove the reliance on system parameters, we leverage a new data-driven algorithm to learn controller parameters via the collected data. Rigorous analysis shows that the closed-loop system can resiliently achieve practical cooperative output regulation. Finally, a simulation example is given to illustrate the effectiveness of the achieved results.
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ISSN:2168-2267
2168-2275
2168-2275
DOI:10.1109/TCYB.2023.3263480