Distributed Minimum-Time Consensus Prediction for High-Order Multiagent Systems

• 成果类型: Article
• 署名作者: Hu, Fulong; Zhang, Hai-Tao; Xu, Bowen; Hu, Zhe
• 署名单位: Huazhong University of Science & Technology; Huazhong University of Science & Technology; Huazhong University of Science & Technology; Huazhong University of Science & Technology; Huazhong University of Science & Technology; Northwestern Polytechnical University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2025.3535664
• 发表日期: 2025
• 页码: 4186-4193
• 关键词: Polynomials; Prediction algorithms; time series analysis; MANIFOLDS; vectors; Multi-agent systems; SYMBOLS; Null space; estimation; COSTS; Collaborative systems; distributed minimum-time consensus prediction (DMTCP); multiagent systems; networked control systems

摘要

In this note, a detective matrix-based distributed algorithm is proposed to address a distributed minimum-time consensus prediction problem for discrete-time high-order multiagent systems (MASs). Therein, each agent predicts the consensus value merely using the minimum length of individual and/or neighboring successive position time series. Compared to most existing algorithms that could only predict constant consensus values for first-order linear MASs, the present method could predict consensus manifolds for high-order linear MASs as well, which could be time-varying. Finally, both the effectiveness and superiority of the proposed distributed minimum-time consensus algorithm are substantiated by numerical simulations.