Title :
Convergence properties of an extended least squares (ELS) estimator
Author_Institution :
Dept. of Eng. Cybern., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
fDate :
Aug. 31 1999-Sept. 3 1999
Abstract :
By factorizing the A- and B-polynomials in an ARMAX model and filtering the input/output data with the appropriate factors, the parameters of the model are estimated in a decoupled fashion. This may improve the robustness of some estimators significantly, e.g., when applied to very stiff systems. Earlier work on these techniques has established both local and global convergence properties of some LS, IV, and PE variants. An ELS variant is considered herein, and its local and global convergence properties are analyzed.
Keywords :
autoregressive moving average processes; convergence of numerical methods; estimation theory; least squares approximations; parameter estimation; polynomial approximation; ARMAX model; ELS estimator; convergence property; extended least squares estimator; model parameter estimation; polynomial factorization; Accuracy; Convergence; Estimation; Mathematical model; Polynomials; Reduced order systems; Robustness; ELS methods; convergence analysis;
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5