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Flight vehicle system identification : a time-domain methodology /
This book offers a systematic approach to flight vehicle system identification and covers the time-domain methodology. It addresses theoretical and practical aspects of parameter estimation methods, including those in the stochastic framework focusing on nonlinear models, cost function, optimization...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Reston, VA :
American Institute of Aeronautics and Astronautics, Inc.,
[2015]
|
| Edición: | Second edition. |
| Colección: | Progress in astronautics and aeronautics ;
v. 245. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Jategaonkar, Ravindra V., |e author. | |
| 245 | 1 | 0 | |a Flight vehicle system identification : |b a time-domain methodology / |c Ravindra V. Jategaonkar. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Reston, VA : |b American Institute of Aeronautics and Astronautics, Inc., |c [2015] | |
| 264 | 4 | |c ©2015 | |
| 300 | |a 1 online resource (xviii, 627 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file | ||
| 347 | |b PDF | ||
| 490 | 1 | |a Progress in astronautics and aeronautics ; |v volume 245 | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Introduction -- Data gathering -- Model postulates and simulation -- Output-error method -- Filter-error method -- Equation-error methods -- Recursive parameter estimation -- Artificial neural networks -- Unstable aircraft identification -- Data compatibility check -- Model validation -- Selected advanced examples. | |
| 588 | 0 | |a Print version record. | |
| 520 | |a This book offers a systematic approach to flight vehicle system identification and covers the time-domain methodology. It addresses theoretical and practical aspects of parameter estimation methods, including those in the stochastic framework focusing on nonlinear models, cost function, optimization methods, and residual analysis. A pragmatic and balanced account of pros and cons in each case is provided. It presents data gathering and model validation, covering large-scale and high-fidelity modeling. Real-world problems dealing with a variety of flight vehicle applications are addressed, and solutions are provided. Examples include: estimation of aerodynamic stability and control derivatives from flight data; flight-path reconstruction; nonlinearities in control surface effectiveness; stall hysteresis; unstable aircraft; flexible aircraft model integrating rigid-body and structural dynamics; wake vortex encounters; and other critical considerations. -- |c Edited summary from book. | ||
| 590 | |a Knovel |b ACADEMIC - Aerospace & Radar Technology | ||
| 650 | 0 | |a Aerodynamics |x Mathematical models. | |
| 650 | 0 | |a Aeronautics |x Mathematical models. | |
| 650 | 0 | |a System identification. | |
| 650 | 0 | |a Time-domain analysis. | |
| 650 | 6 | |a Aérodynamique |x Modèles mathématiques. | |
| 650 | 6 | |a Aéronautique |x Modèles mathématiques. | |
| 650 | 6 | |a Identification des systèmes. | |
| 650 | 6 | |a Analyse temporelle. | |
| 650 | 7 | |a Aerodynamics |x Mathematical models |2 fast | |
| 650 | 7 | |a Aeronautics |x Mathematical models |2 fast | |
| 650 | 7 | |a System identification |2 fast | |
| 650 | 7 | |a Time-domain analysis |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Jategaonkar, Ravindra V. |t Flight vehicle system identification. |b Second edition |z 9781624102783 |w (OCoLC)903532332 |
| 830 | 0 | |a Progress in astronautics and aeronautics ; |v v. 245. | |
| 856 | 4 | 0 | |u https://appknovel.uam.elogim.com/kn/resources/kpFVSIAT04/toc |z Texto completo |
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| 994 | |a 92 |b IZTAP | ||