Estimation of model uncertainties in closed-loop systems

被引：1

作者：

Niemann, Henrik ^{[1
]}

Poulsen, Niels Kjolstad ^{[2
]}

机构：

[1] Automat Tech Univ Denmark, Dept Elect Engn, DK-2800 Lyngby, Denmark

[2] Automat Tech Univ Denmark, Dept Informat & Math Model, DK-2800 Lyngby, Denmark

来源：

2008 AMERICAN CONTROL CONFERENCE, VOLS 1-12 | 2008年

关键词：

D O I：

10.1109/ACC.2008.4587318

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describe a method for estimation of parameters or uncertainties in closed-loop systems. The method is based on an application of the dual YJBK (after Youla, Jabr, Bongiorno and Kucera) parameterization of all systems stabilized by a given controller. The dual YJBK transfer function is a measure for the variation in the system seen through the feedback controller. It is shown that it is possible to isolate a certain number of parameters or uncertain blocks in the system exactly. This is obtained by modifying the feedback controller through the YJBK transfer function together with pre- and post-filters. The estimation is then derived using standard methods.

引用

页码：5186 / +

页数：2

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