DocumentCode
850221
Title
Reduced gradient computation in prediction error identification
Author
Hill, Stacy D.
Author_Institution
Johns Hopkins University, Laurel, MD, USA
Volume
30
Issue
8
fYear
1985
fDate
8/1/1985 12:00:00 AM
Firstpage
776
Lastpage
778
Abstract
One way to design practical identification algorithms using the prediction error method is to find a computationally efficient expression for the gradient of the prediction error cost function. Here, results on adjoint equations are used to derive an efficient gradient expression which reduces the computational burden of evaluating it.
Keywords
Gradient methods; Parameter estimation, linear systems; Prediction methods; System identification, linear systems; Equations; Filtering; Filters; Noise measurement; Noise reduction; Optimal control; State estimation; Steady-state; Time varying systems; Uncertain systems;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1985.1104062
Filename
1104062
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