Postflight data analysis by means of adaptive, iterated, extended Kalman filtering
Jerry M. Mendel · IEEE Transactions on Automatic Control · 1974
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.