Dynamic Resilient Consensus of Second-Order Multiagent Networks With a Time-Varying Malicious Agent Set

• 成果类型: Article
• 署名作者: Liu, Ze-Qiang; Liu, Zhi-Wei; He, Ding-Xin; Ye, Lintao; Chi, Ming
• 署名单位: Huazhong University of Science & Technology; Huazhong University of Science & Technology
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2024.3507672
• 发表日期: 2025
• 页码: 3308-3315
• 关键词: Heuristic algorithms; safety; Vehicle dynamics; switches; TOPOLOGY; Robustness; DELAYS; Network topology; CONVERGENCE; buildings; Adaptive weighted subsequence reduction (AWSR); Communication delays; dynamic malicious agent set; multiagent network (MAN); resilient consensus

摘要

We address the problem of resilient consensus in second-order multiagent networks (MANs) with a time-varying set of malicious agents. Existing research typically assumes a static set of malicious agents. However, in real-world scenarios, network attacks and recoveries may lead to dynamic changes in the roles of agents. To overcome this challenge, a novel adaptive weighted subsequence reduction (AWSR) is proposed for resilient consensus in MANs with a dynamic malicious agent set. Based on the AWSR approach, a resilient consensus algorithm is designed for second-order MANs. Graph-theoretic conditions in the context of network robustness are derived to ensure resilient consensus in the considered MAN. We also extend the algorithm and analysis to MANs with communication delays. Finally, simulation experiments are conducted to demonstrate the effectiveness of the proposed algorithms.