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Towards resilient average consensus in multi-agent systems: a detection and compensation approach
Special Feature on Secure Control and Filtering for Industrial Metaverse | Updated：2024-02-26

    • Towards resilient average consensus in multi-agent systems: a detection and compensation approach

    • 一种基于检测和补偿的多智能体系统弹性平均一致性方法
    • “In the field of multi-agent systems, this paper introduces its research progress in resilient average consensus. Expert established the D-DCC and S-DCC algorithms, which provide solutions to solve the problem of consensus value being influenced by misbehaving nodes.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 25, Issue 2, Pages: 182-196(2024)

    • DOI：10.1631/FITEE.2300467    

      CLC： TP13

    • Received：28 June 2023，

      Accepted：06 November 2023，

      Published Online：28 December 2023，

      Published：0 February 2024

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  • Chongrong FANG, Wenzhe ZHENG, Zhiyu HE, et al. Towards resilient average consensus in multi-agent systems: a detection and compensation approach[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(2): 182-196. DOI： 10.1631/FITEE.2300467.

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