4.6 Article

Adaptive event-triggered consensus control of linear multi-agent systems with cyber attacks q

期刊

NEUROCOMPUTING
卷 442, 期 -, 页码 1-9

出版社

ELSEVIER
DOI: 10.1016/j.neucom.2021.02.040

关键词

Adaptive event-triggering scheme; Multi-agent systems; Consensus control; Cyber attacks

资金

  1. National Natural Science Foundation of China [61991414, 61873301, 62088101]
  2. National Key Research and Development Project [2020YFC1512500]

向作者/读者索取更多资源

This paper investigates the adaptive event-triggered consensus control problem for a class of linear multi-agent systems subject to cyber attacks and communication delays. By reformulating the linear multi-agent system as a time-delay error system and providing sufficient conditions for asymptotical stability and security, the proposed adaptive event-triggering scheme effectively reduces unnecessary signals transmission among agents while ensuring desired control performance.
This paper investigates the adaptive event-triggered consensus control problem for a class of linear multi-agent systems subject to cyber attacks and communication delays. To effectively alleviate unnecessary signals transmission among the agents and achieve the reasonable allocation of resources, an adaptive event-triggering scheme, whose threshold parameters are adaptively adjusted based on system performance needs, is proposed. The event-triggering scheme can achieve the discontinuous communication and significantly reduce the number of signals transmission while ensuring the desired control performance. By considering the communication scheme and consensus control protocol in a unified framework, the linear multi-agent system is reformulated as a time-delay error system. Sufficient conditions are developed to guarantee the asymptotical stability and security of time-delay error system. Moreover, a co-design for the gain of the controller and the parameters of the adaptive event triggering scheme is provided. Finally, an example on the tunnel diode circuit system is given to show the effectiveness and advantages of the proposed method. ? 2021 Elsevier B.V. All rights reserved.

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