@inproceedings{6d80efad974b464791136d0b4aa19107,
title = "Sufficient and Necessary Condition for Resilient Consensus under Time-varying Topologies",
abstract = "Although quite a few results on resilient consensus of multi-agent systems with malicious agents and fixed topology have been reported in the literature, we lack any known results on such a problem for multi-agent systems with time-varying topologies. Herein, we study the resilient consensus problem of time-varying networked systems in the presence of misbehaving nodes. A novel concept of joint (r,\textbackslash{}s)-robustness is firstly proposed to characterize the robustness of the time-varying topologies. It is further revealed that the resilient consensus of multi-agent systems under F-total malicious network can be reached by the Weighted Mean-Subsequence-Reduced algorithm if and only if the time-varying graph is jointly (F+1,\textbackslash{}F+1)-robust. Numerical simulations are finally performed to verify the effectiveness of the analytical results.",
keywords = "Resilient consensus, joint r,\textbackslash{}s-robustness, malicious node, switching topologies",
author = "Guanghui Wen and Yuezu Lv and Jialing Zhou and Junjie Fu",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020 ; Conference date: 13-11-2020 Through 15-11-2020",
year = "2020",
month = nov,
day = "13",
doi = "10.1109/ICCSS52145.2020.9336883",
language = "English",
series = "2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "84--89",
booktitle = "2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020",
address = "United States",
}