时间分布多步延迟输入与状态估计的补救方法

C. Hsieh
{"title":"时间分布多步延迟输入与状态估计的补救方法","authors":"C. Hsieh","doi":"10.1109/TENCON.2018.8650533","DOIUrl":null,"url":null,"abstract":"This paper presents a remedy for the recently proposed (time) distributed multi-step delayed input and state estimation (DMSDISE) using a modified unknown input reconstruction model. It shows how, using this new input reconstruction model, the DMSDISE filtering deterioration problem can be solved, and its performance restored to the optimal solution. A comprehensive study on the filtering degradation of the DMSDISE is conducted, and a new design using the delayed elimination technique is also proposed. Simulation results are given to show the effectiveness of the proposed results.","PeriodicalId":132900,"journal":{"name":"TENCON 2018 - 2018 IEEE Region 10 Conference","volume":"332 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Remedy for Time Distributed Multi-Step Delayed Input and State Estimation\",\"authors\":\"C. Hsieh\",\"doi\":\"10.1109/TENCON.2018.8650533\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a remedy for the recently proposed (time) distributed multi-step delayed input and state estimation (DMSDISE) using a modified unknown input reconstruction model. It shows how, using this new input reconstruction model, the DMSDISE filtering deterioration problem can be solved, and its performance restored to the optimal solution. A comprehensive study on the filtering degradation of the DMSDISE is conducted, and a new design using the delayed elimination technique is also proposed. Simulation results are given to show the effectiveness of the proposed results.\",\"PeriodicalId\":132900,\"journal\":{\"name\":\"TENCON 2018 - 2018 IEEE Region 10 Conference\",\"volume\":\"332 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"TENCON 2018 - 2018 IEEE Region 10 Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TENCON.2018.8650533\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"TENCON 2018 - 2018 IEEE Region 10 Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCON.2018.8650533","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

针对最近提出的(时间)分布式多步延迟输入和状态估计(DMSDISE)算法,提出了一种改进的未知输入重构模型。结果表明,利用该输入重构模型可以解决DMSDISE滤波劣化问题,并使其性能恢复到最优解。对DMSDISE的滤波退化进行了全面的研究,并提出了一种采用延迟消除技术的新设计。仿真结果表明了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Remedy for Time Distributed Multi-Step Delayed Input and State Estimation
This paper presents a remedy for the recently proposed (time) distributed multi-step delayed input and state estimation (DMSDISE) using a modified unknown input reconstruction model. It shows how, using this new input reconstruction model, the DMSDISE filtering deterioration problem can be solved, and its performance restored to the optimal solution. A comprehensive study on the filtering degradation of the DMSDISE is conducted, and a new design using the delayed elimination technique is also proposed. Simulation results are given to show the effectiveness of the proposed results.
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信