DocumentCode
799863
Title
Specific optimal estimation
Author
Sims, Craig S. ; Melsa, James L.
Author_Institution
Institute of Technology, Southern Methodist University, Dallas, TX, USA
Volume
14
Issue
2
fYear
1969
fDate
4/1/1969 12:00:00 AM
Firstpage
183
Lastpage
186
Abstract
The goal of the specific optimal estimation problem is to achieve near-optimal (minimum variance) estimation using a structure that is easier to implement than the optimal solution. One chooses a reasonable configuration for the filter in which certain parameters are unspecified and then selects the parameters so that its performance is optimized. The problem is formulated as a two-point boundary-value problem resulting from consideration of the covariance of error of the estimate and application of the matrix-minimum principle. The examples presented indicate that near-optimal results can be obtained using a filter designed in this way.
Keywords
Estimation; Linear systems, time-varying continuous-time; Closed-form solution; Computer aided software engineering; Covariance matrix; Differential equations; Nonlinear filters; Optimal control; Riccati equations; Silicon compounds; State estimation; White noise;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1969.1099135
Filename
1099135
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