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
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
收藏
页码:5186 / +
页数:2
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