DocumentCode
815370
Title
Postflight data analysis by means of adaptive, iterated, extended Kalman filtering
Author
Mendel, Jerry M.
Author_Institution
University of Southern California, Los Angeles, CA, USA
Volume
19
Issue
5
fYear
1974
fDate
10/1/1974 12:00:00 AM
Firstpage
467
Lastpage
474
Abstract
This paper describes a specific postflight data analysis (PFDA) technique, which is termed adaptive, iterated, extended Kalman filtering (AIEKF), and illustrates the application of the PFDA tool to the estimation of aerodynamic coefficients ( 
) for a single-axis model of a thrust-vector-controlled missile. It is demonstrated that PFDA embraces many areas of interest to control specialists, such as simulation of nonlinear systems, estimation, optimization, and validation.
) for a single-axis model of a thrust-vector-controlled missile. It is demonstrated that PFDA embraces many areas of interest to control specialists, such as simulation of nonlinear systems, estimation, optimization, and validation.Keywords
Adaptive Kalman filtering; Kalman filtering; Missile control; Nonlinear systems, continuous-time; Parameter estimation; Adaptive filters; Aerodynamics; Data analysis; Extraterrestrial measurements; Filtering; Kalman filters; Missiles; Nonlinear control systems; Testing; Vehicles;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1974.1100633
Filename
1100633
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