存在已知频率的干扰和测量噪声时离散-时间多代理系统的可扩展精确输出同步

IF 3.2 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

International Journal of Robust and Nonlinear Control Pub Date : 2024-09-02 DOI:10.1002/rnc.7605

Zhenwei Liu, Meirong Zhang, Ali Saberi, Anton A. Stoorvogel

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引用次数: 0

摘要

本文旨在实现离散时间多代理系统在已知频率的干扰和测量噪声下的可扩展精确输出和调节输出同步。文章同时考虑了同构和异构多代理系统，在后一种情况下，代理的部分状态是可访问的。本文的主要贡献是在干扰和测量噪声下建立了可扩展的精确同步结果，这是通过使用分布式协议实现的，该协议只使用了代理模型信息，而没有使用通信网络或代理数量信息。通过对任意选择的代理数量进行数值模拟，验证了协议的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Scalable exact output synchronization of discrete-time multi-agent systems in the presence of disturbances and measurement noise with known frequencies

This article aims to achieve scalable exact output and regulated output synchronization for discrete-time multi-agent systems in presence of disturbances and measurement noise with known frequencies. Both homogeneous and heterogeneous multi-agent systems are considered, with parts of agents' states accessible in the latter case. The key contribution of this article is to establish scalable exact synchronization results under disturbances and measurement noise, which is achieved by using distributed protocols that only use information about agent models and no information about the communication network or the number of agents. The validity of the protocol is verified by numerical simulations with arbitrarily chosen number of agents.

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来源期刊

International Journal of Robust and Nonlinear Control 工程技术-工程：电子与电气

CiteScore

6.70

自引率

20.50%

发文量

505

审稿时长

2.7 months

期刊介绍： Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.