DocumentCode :
2183318
Title :
Exactly initialized recursive least squares
Author :
Zhou, Jie ; Zhu, Yunmin ; Li, X. Rong ; You, Zhisheng
Author_Institution :
Math. Coll., Sichuan Univ., China
Volume :
4
fYear :
2001
fDate :
2001
Firstpage :
3318
Abstract :
In this paper, we present three order-recursive formulas for the Moore-Penrose pseudoinverses of matrices which are the improved and extended Greville formulas (1960). These new versions not only reduce almost half memory locations of Greville formula at each recursion, but also are very useful to derive recursive formulas for the optimization solutions involving the pseudoinverses of matrices. As applications, using the new formulas, we derive Recursive Least Squares (RLS) procedures which coincide exactly with the batch LS solutions to the problems of unconstrained LS, LS with linear equality constraints, and weighted LS, respectively, including their simple and exact initializations. In comparison with previous results of Albert and Sittler (1965), not only the derivation of the recursive formulas are much easier, but also the formulas themselves are clearer and simpler. In particular, the linear equality constrained RLS can be of the same version of RLS without constraint except the initial values, which has important practical applications
Keywords :
least squares approximations; matrix inversion; Greville formula; linear equality constraints; pseudoinverses; recursive formulas; recursive least squares; weighted LS; Communication system control; Constraint optimization; Educational institutions; Least squares methods; Parameter estimation; Process control; Resonance light scattering; Signal processing; Tin; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
Type :
conf
DOI :
10.1109/.2001.980334
Filename :
980334
Link To Document :
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