DocumentCode
2995708
Title
Polynomial estimators
Author
Stubberud, A.R. ; Masenten, W.K.
Author_Institution
University of California at Irvine, Irvine, California
fYear
1970
fDate
7-9 Dec. 1970
Firstpage
191
Lastpage
191
Abstract
Minimal mean square error polynomial estimators are developed for time discrete systems. The estimation problem is formulated in Hilbert space with the optimal as the projection on the linear manifold generated by finite polynomials of the observer. The estimate is partitioned into a predictor and corrector where the corrector is expressed as the product of a weighting vector and residual. Methods of determing the residuals and the weighting vectors are developed. An example applying the techniques is included.
Keywords
Equations; Observers; Polynomials; Probes; Random variables;
fLanguage
English
Publisher
ieee
Conference_Titel
Adaptive Processes (9th) Decision and Control, 1970. 1970 IEEE Symposium on
Conference_Location
Austin, TX, USA
Type
conf
DOI
10.1109/SAP.1970.270015
Filename
4044670
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