DocumentCode
2394659
Title
Estimation of model uncertainties in closed-loop systems
Author
Niemann, Henrik ; Poulsen, Niels Kjolstad
Author_Institution
Dept. of Electr. Eng., Autom. Tech. Univ. of Denmark, Lyngby
fYear
2008
fDate
11-13 June 2008
Firstpage
5186
Lastpage
5191
Abstract
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.
Keywords
feedback; parameter estimation; robust control; transfer functions; closed-loop systems; feedback controller; model uncertainties estimation; robust control; transfer function; Adaptive control; Automatic control; Automation; Control systems; Frequency; Informatics; Parameter estimation; Robust control; Transfer functions; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2008
Conference_Location
Seattle, WA
ISSN
0743-1619
Print_ISBN
978-1-4244-2078-0
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2008.4587318
Filename
4587318
Link To Document