DocumentCode :
313661
Title :
Best-fit parameter estimation for a bounded errors-in-variables model
Author :
Chandrasekaran, S. ; Golub, Gene H. ; Gu, Ming ; Sayed, Ali H.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Volume :
1
fYear :
1997
fDate :
4-6 Jun 1997
Firstpage :
166
Abstract :
We pose and solve a parameter estimation problem in the presence of bounded data uncertainties. The new formulation involves a minimization problem and admits a closed form solution in terms of the unique positive root of a secular equation. It also has interesting connections with errors-in-variables and H methods
Keywords :
minimisation; parameter estimation; uncertain systems; H methods; best-fit parameter estimation; bounded data uncertainties; bounded errors-in-variables model; closed form solution; minimization; secular equation positive root; Closed-form solution; Cost function; Degradation; Equations; Error analysis; Filtering; Noise measurement; Noise robustness; Parameter estimation; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
ISSN :
0743-1619
Print_ISBN :
0-7803-3832-4
Type :
conf
DOI :
10.1109/ACC.1997.611778
Filename :
611778
Link To Document :
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