LEADER 04409nam 2200997z- 450 001 9910346692103321 005 20231214133352.0 010 $a3-03921-031-9 035 $a(CKB)4920000000094748 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/41666 035 $a(EXLCZ)994920000000094748 100 $a20202102d2019 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAutonomous Control of Unmanned Aerial Vehicles 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 215 $a1 electronic resource (270 p.) 311 $a3-03921-030-0 330 $aUnmanned aerial vehicles (UAVs) are being increasingly used in different applications in both military and civilian domains. These applications include surveillance, reconnaissance, remote sensing, target acquisition, border patrol, infrastructure monitoring, aerial imaging, industrial inspection, and emergency medical aid. Vehicles that can be considered autonomous must be able to make decisions and react to events without direct intervention by humans. Although some UAVs are able to perform increasingly complex autonomous manoeuvres, most UAVs are not fully autonomous; instead, they are mostly operated remotely by humans. To make UAVs fully autonomous, many technological and algorithmic developments are still required. For instance, UAVs will need to improve their sensing of obstacles and subsequent avoidance. This becomes particularly important as autonomous UAVs start to operate in civilian airspaces that are occupied by other aircraft. The aim of this volume is to bring together the work of leading researchers and practitioners in the field of unmanned aerial vehicles with a common interest in their autonomy. The contributions that are part of this volume present key challenges associated with the autonomous control of unmanned aerial vehicles, and propose solution methodologies to address such challenges, analyse the proposed methodologies, and evaluate their performance. 610 $asuper twisting sliding mode controller (STSMC) 610 $amonocular visual SLAM 610 $amodulation 610 $abio-inspiration 610 $asimulation 610 $ahorizontal control 610 $asensor fusion 610 $aADRC 610 $ahigh-order sliding mode 610 $aover-the-horizon air confrontation 610 $alongitudinal motion model 610 $aautonomous control 610 $areal-time ground vehicle detection 610 $amaneuver decision 610 $anonlinear dynamics 610 $aUAV automatic landing 610 $aharmonic extended state observer 610 $aimage processing 610 $aGeneral Visual Inspection 610 $aactuator faults 610 $aactuator fault 610 $aremote sensing 610 $aaerial infrared imagery 610 $aagricultural UAV 610 $aSC-FDM 610 $atilt rotors 610 $amass eccentricity 610 $awind disturbance 610 $adecoupling algorithm 610 $aadaptive discrete mesh 610 $adisturbance 610 $asuper twisting extended state observer (STESO) 610 $aheuristic exploration 610 $asliding mode control 610 $aUAS 610 $aQ-Network 610 $aUAV communication system 610 $aUAV 610 $areinforcement learning 610 $aautonomous landing area selection 610 $apeak-to-average power ratio (PAPR) 610 $aslung load 610 $aaircraft maintenance 610 $aflight mechanics 610 $aoctree 610 $aunmanned aerial vehicle 610 $aconvolutional neural network 610 $aaircraft 610 $aperformance evaluation 610 $aquadrotor 610 $avertical take off 610 $adata link 610 $apath planning 610 $acoaxial-rotor 610 $afixed-time extended state observer (FTESO) 610 $amulti-UAV system 610 $ahardware-in-the-loop 610 $adistributed swarm control 610 $avertical control 700 $aBecerra$b Victor$4auth$01287664 906 $aBOOK 912 $a9910346692103321 996 $aAutonomous Control of Unmanned Aerial Vehicles$93020273 997 $aUNINA