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| Aircraft System Identification: Theory and Practice |
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Vladislav Klein, George Washington University
Eugene A. Morelli, NASA Langley Research Center
AIAA Education Series
Published by AIAA, © 2006, 1st Edition, 484 pages, Hardback
ISBN-10: 1-56347-832-3
ISBN-13: 978-1-56347-832-1
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AIAA Member Price:
$89.95
List Price:
$119.95
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This book provides a comprehensive overview of both the theoretical underpinnings and the practical application of aircraft modeling based on experimental data – also known as aircraft system identification. Much of the material presented comes from the authors’ own extensive research and teaching activities at the NASA Langley Research Center, and is based on real-world applications of system identification to aircraft. The book uses actual flight-test and wind-tunnel data for case studies and examples, and is a valuable resource for researchers and practicing engineers, as well as a textbook for postgraduate and senior-level courses.
All aspects of the system identification problem – including their interdependency – are covered: model postulation, experiment design, instrumentation, data compatibility analysis, model structure determination, state and parameter estimation, and model validation.
The methods described in the book have been successfully applied to projects such as flight envelope expansion for new or modified aircraft, verification and correction of wind-tunnel test results and analytic methods such as computational fluid dynamics (CFD), control system design and refinement, stability analysis, simulation development, flying qualities assessment, and accident investigation, among others.
The book includes SIDPAC (System IDentification Programs for AirCraft), a software toolbox written in MATLAB®. Winner of a NASA Patent Award in 2001 and a NASA Space Act Award in 2006, SIDPAC is composed of many different tools that implement a wide variety of approaches explained fully in the book. These tools can be readily applied to solve system identification problems of interest to the reader.
You can find out more about SIDPAC, register for updates, and contact the authors through their website.
MATLAB(R) is a registered trademark of The MathWorks, Inc.
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Table of Contents:
- Introduction
- Elements of System Theory
- Mathematical Model of an Aircraft
- Outline of Estimation Theory
- Regression Methods
- Maximum Likelihood Methods
- Frequency Domain Methods
- Real-Time Parameter Estimation
- Experiment Design
- Data Compatibility
- Data Analysis
- MATLAB® Software
- Appendices
- Index
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