Aircraft Aerodynamic Parameter Estimation from Flight Data Using Neural Partial Differentiation

Name: Aircraft Aerodynamic Parameter Estimation from Flight Data Using Neural Partial Differentiation
Brand: Springer Verlag, Singapore
SKU: 9789811601033
Price: 19327 HUF
Availability: InStock

Szerző: Vikalp Dongare

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer Verlag, Singapore

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

19 327 Ft

This book presents neural partial differentiation as an estimation algorithm for extracting aerodyna...

Információk a könyvről

Szerző

Vikalp Dongare

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2021

oldal

EAN

9789811601033

ISBN

9811601038

Enbook ID

33594021

Kiadó

Springer Verlag, Singapore

Súly

454

Méretek

155 x 235 x 5

Teljes leírás

This book presents neural partial differentiation as an estimation algorithm for extracting aerodynamic derivatives from flight data. It discusses neural modeling of the aircraft system. The neural partial differentiation approach discussed in the book helps estimate parameters with their statistical information from the noisy data. Moreover, this method avoids the need for prior information about the aircraft model parameters. The objective of the book is to extend the use of the neural partial differentiation method to the multi-input multi-output aircraft system for the online estimation of aircraft parameters from an established neural model. This approach will be relevant for the design of an adaptive flight control system. The book also discusses the estimation of aerodynamic derivatives of rigid and flexible aircraft which are treated separately. The longitudinal and lateral-directional derivatives of aircraft are estimated from flight data. Besides the aerodynamic derivatives, mode shape parameters of flexible aircraft are also identified in the book as part of identification for the state space aircraft model. Since the detailed description of the approach is illustrated through the block diagram and their results are presented in tabular form with figures of parameters converge to their estimates, the contents of this book are intended for readers who want to pursue a postgraduate and doctoral degree in science and engineering. This book is useful for practicing scientists, engineers, and teachers in the field of aerospace engineering.

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Aircraft Aerodynamic Parameter Estimation from Flight Data Using Neural Partial Differentiation

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