| Title | Sufficient and Necessary Condition for Resilient Consensus under Time-Varying Topologies |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Wen, Guanghui, Lv, Yuezu, Zhou, Jialing, Fu, Junjie |
| Conference Name | 2020 7th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS) |
| Date Published | nov |
| Keywords | \\ s$-robustness, Computational modeling, human factors, joint $r, malicious node, multi-agent systems, Network topology, numerical simulation, pubcrawl, resilient consensus, Robustness, Scalability, Social Agents, switching topologies, time-varying systems, Topology |
| 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, 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, F+1) -robust. Numerical simulations are finally performed to verify the effectiveness of the analytical results. |
| DOI | 10.1109/ICCSS52145.2020.9336883 |
| Citation Key | wen_sufficient_2020 |
Sufficient and Necessary Condition for Resilient Consensus under Time-Varying Topologies