An efficient method for direct closed-loop identification

Author

Zheng, Wei Xing

Author_Institution

Sch. of Quantitative Methods & Math. Sci., Univ. of Western Sydney, NSW, Australia

Volume

5

fYear

2001

fDate

2001

Firstpage

4344

Abstract

A novel type of least-squares (LS) based method in combination with the bias correction principle is proposed for direct identification of plants under feedback control. Its centerpiece is a more computationally efficient scheme for estimating the noise covariance vector that specifies the source of the noise-induced bias in the LS estimate. The attractive feature of the proposed method is that it can achieve the good estimation accuracy at a significantly reduced numerical cost. A numerical example is presented to demonstrate the effectiveness of the proposed method

Keywords

closed loop systems; computational complexity; covariance analysis; feedback; identification; least squares approximations; LS based method; bias correction principle; computationally efficient scheme; direct closed-loop identification; feedback control; least-squares based method; noise covariance vector estimation; noise-induced bias source specification; plants; Australia; Control systems; Costs; Delay effects; Feedback control; Parameter estimation; Parameter extraction; Parametric statistics; Stochastic processes; System identification;

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/.2001.980884

Filename

980884