{"title":"不可观测数据包丢失情况下交互多模型估计器的性能和稳定性分析。","authors":"Hong Lin , James Lam , Zidong Wang , Zhan Shu","doi":"10.1016/j.isatra.2024.10.005","DOIUrl":null,"url":null,"abstract":"<div><div>For a system with packet loss, if the estimator cannot observe the packet-loss status (PLS), the system is called an unobservable-packet-loss (UPL) system. Otherwise, it is called an observable-packet-loss (OPL) system. This paper studies the interacting multiple model (IMM) estimator for UPL systems, and the main contributions are twofold. <strong>(i) Estimation accuracy of the unobservable PLS.</strong> For an <em>unstable</em> UPL system, we prove that the UPL system will become an OPL one with time, since the PLS can be exactly estimated with time. For a <em>stable</em> UPL system, there exists an accuracy threshold such that the estimation accuracy of the PLS cannot be better than this threshold. <strong>(ii) Stability of the IMM estimator.</strong> For an <em>unstable</em> UPL system, we establish a necessary and sufficient condition: there exists a threshold such that the IMM estimator is stable almost everywhere if and only if the packet-arrival rate is greater than this threshold. For a <em>stable</em> UPL system, we show that the IMM estimator is stable, no matter what value the packet-arrival rate is.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"155 ","pages":"Pages 193-204"},"PeriodicalIF":6.3000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance and stability analysis of interacting multiple model estimator under unobservable packet loss\",\"authors\":\"Hong Lin , James Lam , Zidong Wang , Zhan Shu\",\"doi\":\"10.1016/j.isatra.2024.10.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>For a system with packet loss, if the estimator cannot observe the packet-loss status (PLS), the system is called an unobservable-packet-loss (UPL) system. Otherwise, it is called an observable-packet-loss (OPL) system. This paper studies the interacting multiple model (IMM) estimator for UPL systems, and the main contributions are twofold. <strong>(i) Estimation accuracy of the unobservable PLS.</strong> For an <em>unstable</em> UPL system, we prove that the UPL system will become an OPL one with time, since the PLS can be exactly estimated with time. For a <em>stable</em> UPL system, there exists an accuracy threshold such that the estimation accuracy of the PLS cannot be better than this threshold. <strong>(ii) Stability of the IMM estimator.</strong> For an <em>unstable</em> UPL system, we establish a necessary and sufficient condition: there exists a threshold such that the IMM estimator is stable almost everywhere if and only if the packet-arrival rate is greater than this threshold. For a <em>stable</em> UPL system, we show that the IMM estimator is stable, no matter what value the packet-arrival rate is.</div></div>\",\"PeriodicalId\":14660,\"journal\":{\"name\":\"ISA transactions\",\"volume\":\"155 \",\"pages\":\"Pages 193-204\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2024-12-01\",\"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/S001905782400466X\",\"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/S001905782400466X","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}
Performance and stability analysis of interacting multiple model estimator under unobservable packet loss
For a system with packet loss, if the estimator cannot observe the packet-loss status (PLS), the system is called an unobservable-packet-loss (UPL) system. Otherwise, it is called an observable-packet-loss (OPL) system. This paper studies the interacting multiple model (IMM) estimator for UPL systems, and the main contributions are twofold. (i) Estimation accuracy of the unobservable PLS. For an unstable UPL system, we prove that the UPL system will become an OPL one with time, since the PLS can be exactly estimated with time. For a stable UPL system, there exists an accuracy threshold such that the estimation accuracy of the PLS cannot be better than this threshold. (ii) Stability of the IMM estimator. For an unstable UPL system, we establish a necessary and sufficient condition: there exists a threshold such that the IMM estimator is stable almost everywhere if and only if the packet-arrival rate is greater than this threshold. For a stable UPL system, we show that the IMM estimator is stable, no matter what value the packet-arrival rate is.
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.