Direct model reference adaptive pole placement control with exponential weighting properties

Author

Kim, Jong-Hwan ; Hong, Yeon-Chan ; Choi, Keh-Kun

Author_Institution

Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea

Volume

36

Issue

9

fYear

1991

fDate

9/1/1991 12:00:00 AM

Firstpage

1073

Lastpage

1077

Abstract

A parameterization for a linear system is presented to design a direct model reference adaptive pole placement controller. This parameterized model is one of the structured nonminimal models. The exponentially weighted least-squares algorithm is employed to estimate the control parameters. The direct adaptive controller has the exponential weighting properties by the proposed method of selecting the characteristic polynomials of the sensitivity function filters in connection with the reference model

Keywords

control system synthesis; least squares approximations; linear systems; model reference adaptive control systems; parameter estimation; poles and zeros; characteristic polynomials; direct model reference adaptive pole placement controller; exponentially weighted least-squares algorithm; linear system; parameterization; sensitivity function filters; Adaptive control; Control systems; Electric variables control; Filters; Linear systems; Parameter estimation; Polynomials; Programmable control; State feedback; Weight control;

fLanguage

English

Journal_Title

Automatic Control, IEEE Transactions on

Publisher

ieee

ISSN

0018-9286

Type

jour

DOI

10.1109/9.83541

Filename

83541