Title :
Parameter estimation for coupled multivariable error models
Author :
Tao, Gang ; Ling, Yi
Author_Institution :
Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
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;
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3832-4
DOI :
10.1109/ACC.1997.610922
