DocumentCode :
1083573
Title :
Nonlinear Smoothing Theory
Author :
Leondes, Cornelius T. ; Peller, John B. ; Stear, Edwin B.
Author_Institution :
School of Engineering and Applied Science, University of California, Los Angeles, Calif.
Volume :
6
Issue :
1
fYear :
1970
Firstpage :
63
Lastpage :
71
Abstract :
Differential equations are developed for the smoothing density function and for the smoothed expectation of an arbitrary function of the state. The exact equations developed herein are difficult to solve except in trivially simple cases. Approximations to these equations are developed for the smoothed expectation of the state and the smoothing covariance matrix. For linear systems these equations are shown to reduce to previously derived results. An iterative technique is suggested for even greater accuracy in approximations for severely nonlinear systems.
Keywords :
Covariance matrix; Density functional theory; Differential equations; Filtering; Nonlinear equations; Nonlinear systems; Smoothing methods; State estimation; Vectors; White noise;
fLanguage :
English
Journal_Title :
Systems Science and Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0536-1567
Type :
jour
DOI :
10.1109/TSSC.1970.300330
Filename :
4082288
Link To Document :
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