基于正交混合(SHF和RHTF的组合)函数的状态估计

2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 1900-01-01 DOI:10.1109/CMI.2016.7413724

Anirban Mukhopadhyay, A. Ganguly

{"title":"基于正交混合(SHF和RHTF的组合)函数的状态估计","authors":"Anirban Mukhopadhyay, A. Ganguly","doi":"10.1109/CMI.2016.7413724","DOIUrl":null,"url":null,"abstract":"A method of estimation of state variables of observable linear continuous time dynamical system from the knowledge of control variables and observed variables with the help of Hybrid function (which is composed of SHF and RHTF) is developed. The theory of full order observer as proposed by Luenberger along with the operational properties of HF is utilized here for the reconstruction of the state variables.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"State estimation by orthogonal hybrid (combination of SHF and RHTF) function\",\"authors\":\"Anirban Mukhopadhyay, A. Ganguly\",\"doi\":\"10.1109/CMI.2016.7413724\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method of estimation of state variables of observable linear continuous time dynamical system from the knowledge of control variables and observed variables with the help of Hybrid function (which is composed of SHF and RHTF) is developed. The theory of full order observer as proposed by Luenberger along with the operational properties of HF is utilized here for the reconstruction of the state variables.\",\"PeriodicalId\":244262,\"journal\":{\"name\":\"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)\",\"volume\":\"101 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMI.2016.7413724\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMI.2016.7413724","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

提出了一种基于控制变量和观测变量的混合函数(由SHF和RHTF组成)估计可观测线性连续时间动力系统状态变量的方法。本文利用Luenberger提出的全阶观测器理论和HF的操作性质对状态变量进行重构。

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

State estimation by orthogonal hybrid (combination of SHF and RHTF) function

A method of estimation of state variables of observable linear continuous time dynamical system from the knowledge of control variables and observed variables with the help of Hybrid function (which is composed of SHF and RHTF) is developed. The theory of full order observer as proposed by Luenberger along with the operational properties of HF is utilized here for the reconstruction of the state variables.

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

2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)

自引率

0.00%

发文量