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008			210223s2021 si a o |||| 0|eng d
020			_a9789811601040
024	7		_a10.1007/978-981-16-0104-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _erda _dES-MaUEC
050		4	_aTL545 _b2021 EB
100	1		_aMohamed, Majeed _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9678363
245	1	0	_aAircraft Aerodynamic Parameter Estimation from Flight Data Using Neural Partial Differentiation _cby Majeed Mohamed, Vikalp Dongare
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XI, 66 páginas) _b32 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aSpringerBriefs in Applied Sciences and Technology _x2191-530X
490	0		_aEngineering (SpringerNature-11647)
490	0		_aEngineering (R0) (SpringerNature-43712)
505	0		_aAircraft System Identification -- Neural Modeling and Parameter Estimation -- Identification of Aircraft Longitudinal Derivatives -- Identification of Aircraft Lateral-directional Derivatives -- Identification of a Flexible Aircraft Derivatives -- Conclusions and Future Work -- Appendix A: Neural Network Based Solution of Ordinary Differential Equation -- Appendix B: Output Error Method. .
520	3		_aThis 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.
988			_aSpringer_Engineering_2021
650		7	_2embne _aAeronáutica _9667366
650		7	_2embne _9138151 _aAerodinámica _xModelos matemáticos
700	1		_aDongare, Vikalp _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9678364
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-0104-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b04/2021 _dz _eb _zSI