DocumentCode
354106
Title
Robust estimation of measurement error covariance
Author
Yuhong, Zhao ; Zhongwen, Gu
Author_Institution
Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
Volume
3
fYear
2000
fDate
2000
Firstpage
2244
Abstract
Conventional indirect estimations of measurement error covariance are very sensitive to gross errors. A robust indirect algorithm based on Hampel´s three-part redescending M-estimators is developed. Credible results can be achieved either with or without the presence of external causes. Two examples are provided to demonstrate the robustness of the proposed method
Keywords
chemical technology; covariance matrices; estimation theory; measurement errors; process control; Hampel´s three-part redescending M-estimators; external causes; measurement error covariance; robust estimation; robust indirect algorithm; robustness; Chemical processes; Covariance matrix; Equations; Error correction; Estimation error; Measurement errors; Modems; Pollution measurement; Robustness; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location
Hefei
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.863003
Filename
863003
Link To Document