DocumentCode
3454249
Title
Parameter subset identification by recursive least squares
Author
Pizarro, O. ; Sbarbaro, D.
Author_Institution
Dept. of Electr. Eng., Univ. de Concepcion, Chile
Volume
6
fYear
1998
fDate
21-26 Jun 1998
Firstpage
3590
Abstract
A technique for recursive least squares (RLS) identification of only a subset of parameters of a linear model is presented. Based on the decomposition of the least squares (LS) problem, an exact solution and a recursive approximation are developed. Identification of a subset of parameters is useful in adaptive control techniques based on cost function identification
Keywords
adaptive control; least squares approximations; recursive estimation; RLS identification; adaptive control; cost function identification; parameter subset identification; recursive approximation; recursive least squares identification; Adaptive control; Cost function; Dynamic programming; Equations; Least squares approximation; Least squares methods; Matrix decomposition; Minimization methods; Parameter estimation; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1998. Proceedings of the 1998
Conference_Location
Philadelphia, PA
ISSN
0743-1619
Print_ISBN
0-7803-4530-4
Type
conf
DOI
10.1109/ACC.1998.703281
Filename
703281
Link To Document