DocumentCode
313166
Title
Parameter estimation for coupled multivariable error models
Author
Tao, Gang ; Ling, Yi
Author_Institution
Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
Volume
3
fYear
1997
fDate
4-6 Jun 1997
Firstpage
1934
Abstract
An adaptive algorithm is developed for estimating the parameters of a linear multivariable error model with coupled dynamics, using estimation errors for coupling inputs. Coupled dynamics in an error equation lead to a new type of error models which have different regressors but the same parameter error. A general cost function is employed to derive a desired adaptive law for updating the parameter estimate. As an application, this algorithm is used for control and identification of multivariable systems with actuator uncertainties
Keywords
adaptive estimation; compensation; multivariable control systems; parameter estimation; uncertain systems; actuator uncertainties; adaptive algorithm; coupled dynamics; coupled multivariable error models; estimation errors; general cost function; regressors; Adaptive algorithm; Adaptive control; Cost function; Differential equations; Error correction; Estimation error; Hydraulic actuators; Parameter estimation; State estimation; Vectors;
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.1997.610922
Filename
610922
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