多传感器非线性融合系统中的集中式H∞融合滤波器设计

Qinghua Li, Hongjun Wang, Jun Du, Xuezhen Liu, Fei Lin
{"title":"多传感器非线性融合系统中的集中式H∞融合滤波器设计","authors":"Qinghua Li, Hongjun Wang, Jun Du, Xuezhen Liu, Fei Lin","doi":"10.1109/RAMECH.2008.4681338","DOIUrl":null,"url":null,"abstract":"Centralized nonlinear fusion filter design problem is to construct an asymptotically stable observer that leads to a stable estimation error process whose L2 gain with respect to disturbance signal is less than a prescribed level for state estimation of the multi-sensor fusion system. This paper tries to resolve the problem in using of Hinfin filtering theory and LMI methods under certain conditions. Finally, a simulation example is given to illustrate the effectiveness of our methods.","PeriodicalId":320560,"journal":{"name":"2008 IEEE Conference on Robotics, Automation and Mechatronics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Centralized H∞ Fusion Filter Design in Multi-sensor Nonlinear Fusion System\",\"authors\":\"Qinghua Li, Hongjun Wang, Jun Du, Xuezhen Liu, Fei Lin\",\"doi\":\"10.1109/RAMECH.2008.4681338\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Centralized nonlinear fusion filter design problem is to construct an asymptotically stable observer that leads to a stable estimation error process whose L2 gain with respect to disturbance signal is less than a prescribed level for state estimation of the multi-sensor fusion system. This paper tries to resolve the problem in using of Hinfin filtering theory and LMI methods under certain conditions. Finally, a simulation example is given to illustrate the effectiveness of our methods.\",\"PeriodicalId\":320560,\"journal\":{\"name\":\"2008 IEEE Conference on Robotics, Automation and Mechatronics\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE Conference on Robotics, Automation and Mechatronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAMECH.2008.4681338\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Conference on Robotics, Automation and Mechatronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAMECH.2008.4681338","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

集中式非线性融合滤波器的设计问题是构造一个渐近稳定观测器,使其产生一个稳定的估计误差过程,其L2增益相对于干扰信号小于规定的水平,用于多传感器融合系统的状态估计。本文试图解决在一定条件下使用Hinfin滤波理论和LMI方法时出现的问题。最后,通过仿真实例验证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。
Centralized H∞ Fusion Filter Design in Multi-sensor Nonlinear Fusion System
Centralized nonlinear fusion filter design problem is to construct an asymptotically stable observer that leads to a stable estimation error process whose L2 gain with respect to disturbance signal is less than a prescribed level for state estimation of the multi-sensor fusion system. This paper tries to resolve the problem in using of Hinfin filtering theory and LMI methods under certain conditions. Finally, a simulation example is given to illustrate the effectiveness of our methods.
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:604180095
Book学术官方微信