Flight vehicle system identification

Flight vehicle system identification

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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. Real world problems dealing with a variety of flight vehicle applications are addressed and solutions are provided. Examples encompass such problems as estimation of aerodynamics, stability, and control derivatives from flight data, flight path reconstruction, nonlinearities in control surface effectiveness, stall hysteresis, unstable aircraft, and other critical considerations.... Eq. (5.45) Correct the predicted states, Eq. (5.47) Compute R and cost function dct(/f) cost fun tcrn No statceq obsereq paraccuracy ... The source code (Matlab m -files) for the filter error method is provided in the directory /FVSysID/chapter05/.


Title:Flight vehicle system identification
Author: Ravindra V. Jategaonkar
Publisher:Amer Inst of Aeronautics & - 2006
ISBN-13:

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