DocumentCode
810554
Title
On bad data suppression in estimation
Author
Kohlas, J.
Author_Institution
Brown Boveri Research Center, Baden, Switzerland
Volume
17
Issue
6
fYear
1972
fDate
12/1/1972 12:00:00 AM
Firstpage
827
Lastpage
828
Abstract
Merrill and Schweppe [1] propose a modification of the usual least squares criterion for estimation in order to suppress bad data. It is shown that similar estimators can be obtained from maximum likelihood theory.
Keywords
State estimation; maximum-likelihood (ML) estimation; Control systems; Convergence; Cost function; Gradient methods; Least squares approximation; Least squares methods; Maximum likelihood estimation; Stability; Time measurement; Turbines;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1972.1100165
Filename
1100165
Link To Document