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
Link To Document :
