000 03611nam a22005055i 4500
001 978-3-319-16417-5
003 DE-He213
005 20200421112546.0
007 cr nn 008mamaa
008 150610s2015 gw | s |||| 0|eng d
020 _a9783319164175
_9978-3-319-16417-5
024 7 _a10.1007/978-3-319-16417-5
_2doi
050 4 _aTL787-4050.22
072 7 _aTRP
_2bicssc
072 7 _aTTDS
_2bicssc
072 7 _aTEC002000
_2bisacsh
082 0 4 _a629.1
_223
100 1 _aHajiyev, Chingiz.
_eauthor.
245 1 0 _aState Estimation and Control for Low-cost Unmanned Aerial Vehicles
_h[electronic resource] /
_cby Chingiz Hajiyev, Halil Ersin Soken, S�tk� Yenal Vural.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXII, 232 p. 156 illus., 38 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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 _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 0 _aEngineering.
650 0 _aAerospace engineering.
650 0 _aAstronautics.
650 0 _aControl engineering.
650 1 4 _aEngineering.
650 2 4 _aAerospace Technology and Astronautics.
650 2 4 _aControl.
650 2 4 _aSignal, Image and Speech Processing.
700 1 _aErsin Soken, Halil.
_eauthor.
700 1 _aYenal Vural, S�tk�.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319164168
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-16417-5
912 _aZDB-2-ENG
942 _cEBK
999 _c58578
_d58578