DocumentCode
855663
Title
A frequency response-based model order selection criterion
Author
Cloud, David J. ; Kouvaritakis, Basil
Author_Institution
Dept. of Eng. Sci., Oxford Univ., UK
Volume
33
Issue
6
fYear
1988
fDate
6/1/1988 12:00:00 AM
Firstpage
582
Lastpage
585
Abstract
The use of weighting sequence models to describe the dynamics of physical systems provides an effective means of translating the uncertainty associated with the model parameter estimates derived from noisy input/output data into corresponding frequency response-uncertainty information. However, an appropriate truncation level must be established to accomplish this task. The truncation problem is addressed from a frequency response perspective, and a criterion based on frequency response considerations is proposed for selecting the proper truncation
Keywords
frequency response; modelling; parameter estimation; frequency response-based model order selection criterion; frequency response-uncertainty information; modelling; parameter estimation; truncation; weighting sequence models; Clouds; Councils; Frequency estimation; Frequency response; Least squares approximation; Noise measurement; Parameter estimation; Testing; Uncertainty; White noise;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.1258
Filename
1258
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