Flight Vehicle System Identification

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.

Beginners, as well as practicing researchers, engineers, and working professionals who wish to refresh or broaden their knowledge of flight vehicle system identification will find this book highly beneficial.

Based on years of experience, the author also provides recommendations for overcoming problems likely to be faced in developing complex nonlinear and high-fidelity models, and the book can help the novice negotiate the challenges of developing highly accurate mathematical models and aerodynamic databases from experimental flight data. Software that runs under MATLAB® and sample flight data are provided to assist the reader in reworking the examples presented in the text. The software can also be adapted to the reader's own interests.

MATLAB(R) is a registered trademark of The MathWorks, Inc.

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.

Beginners, as well as practicing researchers, engineers, and working professionals who wish to refresh or broaden their knowledge of flight vehicle system identification will find this book highly beneficial.

Based on years of experience, the author also provides recommendations for overcoming problems likely to be faced in developing complex nonlinear and high-fidelity models, and the book can help the novice negotiate the challenges of developing highly accurate mathematical models and aerodynamic databases from experimental flight data. Software that runs under MATLAB® and sample flight data are provided to assist the reader in reworking the examples presented in the text. The software can also be adapted to the reader's own interests.

MATLAB(R) is a registered trademark of The MathWorks, Inc.

Ravindra V. Jategaonkar has been a Senior Scientist at the Institute of Flight Systems of the German Aerospace Center (DLR), in Braunschweig, Germany, since 1986. He was a researcher at the National Aeronautical Laboratory, Bangalore, India (1975-1986). He received his degrees from the Calicut University, India (B.Sc., Engg., 1972, and M.Sc., Engg., 1975), and Indian Institute of Science, Bangalore, India (Ph.D., 1986). He has been extensively involved in the development and applications of nonlinear system identification methods to flight vehicle modeling. He is recipient of the prestigious DLR Award and title "Senior Scientist" for scientific excellence. He is a member of the German Society for Aeronautics and Astronautics (DGLR) and of the AIAA AFM Technical Committee, and he is an Associate Fellow of AIAA.