000			03457nam a22003495i 4500
001			104065
003			DE-He213
005			20230102113158.0
007			cr nn 008mamaa
008			150610s2015 gw | s |||| 0|eng d
020			_a9783319164175
024	7		_a10.1007/978-3-319-16417-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
050		4	_aTL589.4 2015 EB
100	1		_aHajiyev, Chingiz _eautor _9669770
245	1	0	_aState Estimation and Control for Low-cost Unmanned Aerial Vehicles _cby Chingiz Hajiyev, Halil Ersin Soken, Sıtkı Yenal Vural.
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XII, 232 páginas 156 ilustraciones, 38 ilustraciones a color.)
505	0		_aIntroduction to Unmanned Aerial Vehicles -- Equations of Motion for the UAV -- Navigation Systems for UAV -- Estimation of the UAV Dynamics -- Estimation of the UAV Dynamics -- Estimation of the UAV Dynamics in the Presence of Sensor Faults -- Estimation of the UAV Dynamics in the Presence of Sensor/Actuator Faults -- Fault Detection, Isolation and Data Fusion for the UAV Air Data System -- Stability Analysis for the UAV -- Classical Controller Design for the UAV -- LQR Controller Design -- Fuzzy Logic Based Controller Design.
520	3		_aThis book discusses state estimation and control procedures for a low-cost unmanned aerial vehicle (UAV). The authors consider the use of robust adaptive Kalman filter algorithms and demonstrate their advantages over the optimal Kalman filter in the context of the difficult and varied environments in which UAVs may be employed. Fault detection and isolation (FDI) and data fusion for UAV air-data systems are also investigated, and control algorithms, including the classical, optimal, and fuzzy controllers, are given for the UAV. The performance of different control methods is investigated and the results compared. State Estimation and Control of Low-Cost Unmanned Aerial Vehicles covers all the important issues for designing a guidance, navigation and control (GNC) system of a low-cost UAV. It proposes significant new approaches that can be exploited by GNC system designers in the future and also reviews the current literature. The state estimation, control and FDI methods are illustrated by examples and MATLAB® simulations. State Estimation and Control of Low-Cost Unmanned Aerial Vehicles will be of interest to  both  researchers  in  academia  and  professional  engineers  in  the aerospace  industry. Graduate students may also find it useful, and some sections are suitable for an undergraduate readership.
650		7	_aDrones _9667210 _2embne
650		7	_aControl, Teoría de _9145606 _2embne
700	1		_aErsin Soken, Halil _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/82146029497435821073/
700	1		_aYenal Vural, Sıtkı _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/66146029659835822920/
776	0	8	_iEdición impresa: _z9783319164182
776	0	8	_iEdición impresa: _z9783319164168
776	0	8	_iEdición impresa: _z9783319363967
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-16417-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
988			_aEBSPRINGER_2018
998			_b06/2019 _dz _ek _feng _ggw _h0
999			_c104065 _d104065 _x1