递推最小二乘法在电液系统在线辨识中的应用

2009 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2009-12-01 DOI:10.1109/SCORED.2009.5442965

R. Ghazali, Y. M. Sam, M. F. Rahmat, Zulfatman

{"title":"递推最小二乘法在电液系统在线辨识中的应用","authors":"R. Ghazali, Y. M. Sam, M. F. Rahmat, Zulfatman","doi":"10.1109/SCORED.2009.5442965","DOIUrl":null,"url":null,"abstract":"This paper presents experimental on-line identification of an electro-hydraulic system represented by a discrete time model. A recursive least square (RLS) method is used to estimate the unknown parameters of the system based on auto regression with exogenous input (ARX) model. Residual analysis is used for model validation. Results are presented which show variations in parameters of the electro-hydraulic system.","PeriodicalId":443287,"journal":{"name":"2009 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"On-line identification of an electro-hydraulic system using recursive least square\",\"authors\":\"R. Ghazali, Y. M. Sam, M. F. Rahmat, Zulfatman\",\"doi\":\"10.1109/SCORED.2009.5442965\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents experimental on-line identification of an electro-hydraulic system represented by a discrete time model. A recursive least square (RLS) method is used to estimate the unknown parameters of the system based on auto regression with exogenous input (ARX) model. Residual analysis is used for model validation. Results are presented which show variations in parameters of the electro-hydraulic system.\",\"PeriodicalId\":443287,\"journal\":{\"name\":\"2009 IEEE Student Conference on Research and Development (SCOReD)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE Student Conference on Research and Development (SCOReD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCORED.2009.5442965\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Student Conference on Research and Development (SCOReD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCORED.2009.5442965","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 24

摘要

本文提出了用离散时间模型表示的电液系统在线辨识的实验方法。基于外生输入自回归(ARX)模型，采用递推最小二乘(RLS)方法对系统的未知参数进行估计。残差分析用于模型验证。结果显示了电液系统参数的变化。

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

On-line identification of an electro-hydraulic system using recursive least square

This paper presents experimental on-line identification of an electro-hydraulic system represented by a discrete time model. A recursive least square (RLS) method is used to estimate the unknown parameters of the system based on auto regression with exogenous input (ARX) model. Residual analysis is used for model validation. Results are presented which show variations in parameters of the electro-hydraulic system.

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

2009 IEEE Student Conference on Research and Development (SCOReD)

自引率

0.00%

发文量