A bias-eliminated least-squares method for continuous-time model identification of closed-loop systems

被引：29
|
作者：
Garnier, H
Gilson, M
Zheng, WX
机构：
[1] Univ Nancy 1, Ctr Rech Automat, CNRS, ESA 7039, F-54506 Vandoeuvre Les Nancy, France
[2] Univ Western Sydney Nepean, Sch Sci, Kingswood, NSW 2747, Australia
来源：
INTERNATIONAL JOURNAL OF CONTROL | 2000年 / 73卷 / 01期
关键词：
D O I：
10.1080/002071700219920
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Schemes for system identification based on closed-loop experiments have attracted considerable interest lately. However, most of the existing approaches have been developed for discrete-time models. In this paper, the problem of continuous-time model identification is considered. A bias correction method without noise modelling associated with the Poisson moment functionals approach is presented for indirect identification of closed-loop systems. To illustrate the performances of the proposed method, the bias-eliminated least-squares algorithm is applied to the parameter estimation of a simulated system via Monte Carlo simulations.
引用
收藏
页码：38 / 48
页数：11
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