具有大输入和通信延迟的离散时间线性多代理系统的全分布式共识。

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
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引用次数: 0

摘要

本文研究了存在大量时间延迟的离散时间领导-跟随多代理系统的共识问题。在两个假设的基础上,通过利用归一化加权矩阵,设计了一种新型的完全分布式协议,该协议完全取决于相对输出测量。结果表明,对于任意大但有界的输入和通信延迟(恒定且完全已知),所提出的协议及其截断版本都能有效解决共识问题。进一步假设跟随者只包含输入延迟,那么允许的延迟可以是时变的,也可以是不同的。所提出的协议不依赖于定向通信拓扑的全局信息,从而确保了对通信拓扑变化的鲁棒性。我们通过一个数值示例来验证所建议方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fully distributed consensus of discrete-time linear multi-agent systems with large input and communication delays

This paper investigates the consensus problem for discrete-time leader-following multi-agent systems subject to large time delays. Building upon two assumptions, a novel fully distributed protocol is devised by utilizing a normalized weighting matrix, depending solely on the relative output measurement. It is shown that, for arbitrarily large yet bounded input and communication delays that are constant and exactly known, the consensus problem can be effectively addressed by both the proposed protocol and its truncated version. Assuming further that followers incorporate solely input delays, then the permitted delays can be time-varying and different. The proposed protocols do not rely on global information of the directed communication topology, thus ensuring robustness against alterations in the communication topology. A numerical example is employed to validate the effectiveness of the suggested approach.

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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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