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Browse Journals & Magazines > Automatic Control, IEEE Trans ...> Volume:19 Issue:5 Help

Postflight data analysis by means of adaptive, iterated, extended Kalman filtering

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1 Author(s)
Mendel, J. ; University of Southern California, Los Angeles, CA, USA

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 (C_{x}, C_{N}, and C_{m}) 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.

Published in:
Automatic Control, IEEE Transactions on  (Volume:19 ,  Issue: 5 )

Date of Publication: Oct 1974

Page(s):
467 - 474
ISSN :
0018-9286
Digital Object Identifier :
10.1109/TAC.1974.1100633
Date of Current Version :
06 January 2003
Issue Date :
Oct 1974
Sponsored by :
IEEE Control Systems Society

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