DocumentCode
391106
Title
Improved direct identification of linear systems in closed-loop operation
Author
Zheng, Wei Xing
Author_Institution
Sch. of Quantitative Methods & Math. Sci., Univ. of Western Sydney, Penrith South DC, NSW, Australia
Volume
1
fYear
2002
fDate
10-13 Dec. 2002
Firstpage
275
Abstract
An efficient method for direct closed-loop identification of linear systems was recently proposed. A crucial condition utilized in establishing this method is that the system pure time delay must be strictly greater than the order of the noise model. One eminent characteristic of the results presented in this paper is that the previous imposed condition is obliterated so that the method can be used for unbiased direct closed-loop identification of linear systems with arbitrary time delay (including without time delay). Moreover, an important relationship of the proposed method with the instrumental variable methods is founded, providing a good insight into the proposed method. The performance of the proposed method is also illustrated by simulation results in comparison with other identification methods.
Keywords
autoregressive moving average processes; closed loop systems; delay systems; identification; linear systems; ARMAX model; closed-loop system; delay systems; direct closed-loop identification; linear systems; noise model; time delay; Adaptive control; Australia; Biological system modeling; Control systems; Delay effects; Economic forecasting; Linear systems; Open loop systems; Parameter estimation; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-7516-5
Type
conf
DOI
10.1109/CDC.2002.1184504
Filename
1184504
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