DocumentCode
778012
Title
Unbiased identification of systems with nonparametric uncertainty
Author
Feng, Chun-Bo ; Zhang, Ying
Author_Institution
Res. Inst. of Autom., Southeast Univ., Nanjing, China
Volume
40
Issue
5
fYear
1995
fDate
5/1/1995 12:00:00 AM
Firstpage
933
Lastpage
936
Abstract
The set-membership identification of systems with parametric and nonparametric uncertainty is studied. The bias induced by the additive noise is eliminated by using the bias-eliminated least squares method proposed previously by us (1991). A prefilter is connected to the input terminal of the system, so that some zeros are inserted to the system. By using the information obtained from these known zeros, the bias induced by the additive noise is eliminated
Keywords
identification; least squares approximations; linear systems; noise; poles and zeros; uncertain systems; additive noise; least squares method; linear systems; nonparametric uncertainty; prefilter; set-membership; unbiased systems identification; zeros; Additive noise; Automation; Digital filters; Least squares methods; Noise measurement; Noise robustness; Statistics; Transfer functions; Uncertainty; Zinc;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.384234
Filename
384234
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