使用观测器网络的LTI系统的事件触发分布式状态和干扰估计。

IF 6.5 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

ISA transactions Pub Date : 2025-07-14 DOI:10.1016/j.isatra.2025.07.017

Junqi Yang, Dongzheng Wang, Jianfeng Xu, Yantao Chen

{"title":"使用观测器网络的LTI系统的事件触发分布式状态和干扰估计。","authors":"Junqi Yang, Dongzheng Wang, Jianfeng Xu, Yantao Chen","doi":"10.1016/j.isatra.2025.07.017","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, the distributed estimation issues of state, unknown input and measurement noise are studied. First, the new auxiliary output matrices are constructed such that the auxiliary output is unaffected by measurement noise. Second, an event-triggered mechanism is developed, and a predefined-time distributed estimation method is proposed to estimate the auxiliary output matrices. Then, the unknown input is treated as the output of an external system, and the original system state together with external system state is augmented into a new state. Third, the event-triggered distributed observers are designed to estimate original system state and unknown input. In addition, the measurement noise is also reconstructed. Finally, the simulation shows that the system state and all disturbances are estimated asymptotically, which significantly reduces the communication burden.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"166 ","pages":"Pages 14-24"},"PeriodicalIF":6.5000,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Event-triggered distributed state and disturbance estimation for LTI systems using a network of observers\",\"authors\":\"Junqi Yang, Dongzheng Wang, Jianfeng Xu, Yantao Chen\",\"doi\":\"10.1016/j.isatra.2025.07.017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this paper, the distributed estimation issues of state, unknown input and measurement noise are studied. First, the new auxiliary output matrices are constructed such that the auxiliary output is unaffected by measurement noise. Second, an event-triggered mechanism is developed, and a predefined-time distributed estimation method is proposed to estimate the auxiliary output matrices. Then, the unknown input is treated as the output of an external system, and the original system state together with external system state is augmented into a new state. Third, the event-triggered distributed observers are designed to estimate original system state and unknown input. In addition, the measurement noise is also reconstructed. Finally, the simulation shows that the system state and all disturbances are estimated asymptotically, which significantly reduces the communication burden.</div></div>\",\"PeriodicalId\":14660,\"journal\":{\"name\":\"ISA transactions\",\"volume\":\"166 \",\"pages\":\"Pages 14-24\"},\"PeriodicalIF\":6.5000,\"publicationDate\":\"2025-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISA transactions\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0019057825003660\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISA transactions","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0019057825003660","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}

引用次数: 0

摘要

本文研究了状态估计、未知输入和测量噪声的分布式估计问题。首先，构建新的辅助输出矩阵，使辅助输出不受测量噪声的影响。其次，建立了事件触发机制，并提出了一种预定义时间分布式估计方法来估计辅助输出矩阵；然后，将未知输入作为外部系统的输出，将原始系统状态与外部系统状态一起增强为新状态。第三，设计了事件触发分布式观测器来估计系统原始状态和未知输入。此外，还对测量噪声进行了重构。最后，仿真结果表明，系统状态和所有干扰都是渐近估计的，显著降低了通信负担。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Event-triggered distributed state and disturbance estimation for LTI systems using a network of observers

In this paper, the distributed estimation issues of state, unknown input and measurement noise are studied. First, the new auxiliary output matrices are constructed such that the auxiliary output is unaffected by measurement noise. Second, an event-triggered mechanism is developed, and a predefined-time distributed estimation method is proposed to estimate the auxiliary output matrices. Then, the unknown input is treated as the output of an external system, and the original system state together with external system state is augmented into a new state. Third, the event-triggered distributed observers are designed to estimate original system state and unknown input. In addition, the measurement noise is also reconstructed. Finally, the simulation shows that the system state and all disturbances are estimated asymptotically, which significantly reduces the communication burden.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

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.