This valuable volume offers a systematic approach to flight vehicle system identification and exhaustively covers the time domain methodology. It addresses in detail the theoretical and practical aspects of various parameter estimation methods, including those in the stochastic framework and focusing on nonlinear models, cost functions, optimization methods, and residual analysis. A pragmatic and balanced account of pros and cons in each case is provided. The book also presents data gathering and model validation and covers both large-scale systems and high-fidelity modeling.
Appendix F: Derivation of Kalman Filter and Extended Kalman Filter
Flight Vehicle System Identification ; 511-520
2006-01-01
10 pages
Article/Chapter (Book)
Electronic Resource
English
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