Fast finite-time consensus strategy for multi-agent systems based on switching of different protocols

IF 4.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2025-05-15 Epub Date: 2025-04-12 DOI:10.1016/j.jfranklin.2025.107686
Tianpeng Fan, Hongxiao Hu, Quan Wan, Zhongguo Li, Zhengtao Ding
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Abstract

In multi-agent systems (MASs), the time to reach a consensus is an important factor in characterising system performance and control strategy. The linear protocol has a fast convergence rate when the initial error is large but slows significantly as the error decreases. Therefore, this paper combines the linear protocol with two finite-time protocols, and a switching strategy is designed to achieve fast finite-time consensus. First, when the connection topology is undirected, it is proved that the continuous finite-time consensus protocol is unnecessary, with the fastest convergence achieved by switching directly from the linear protocol to the discontinuous finite-time protocol. Two switching thresholds are provided. Subsequently, the results are extended to detail-balanced and leader-following graphs. Notably, in the leader-following case, the graph only needs to be connected without requiring strongly connected or detail-balanced. The proposed approach significantly reduces the time required for MAS consensus and eliminates the need for additional parameter calculations.
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基于协议交换的多智能体系统快速有限时间共识策略
在多智能体系统(MASs)中,达成共识的时间是表征系统性能和控制策略的重要因素。当初始误差较大时,线性协议具有较快的收敛速度,但随着误差的减小,收敛速度明显减慢。因此,本文将线性协议与两种有限时间协议相结合,设计了一种快速达成有限时间共识的交换策略。首先,在连接拓扑无向的情况下,证明了连续有限时间共识协议是不必要的,直接从线性协议切换到不连续有限时间协议的收敛速度最快。提供两个交换阈值。随后,将结果推广到细节平衡图和领导跟随图。值得注意的是,在领导跟随的情况下,图只需要连接,而不需要强连接或细节平衡。所提出的方法大大减少了MAS共识所需的时间,并且消除了额外参数计算的需要。
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来源期刊
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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