000 04380nam a22005055i 4500
001 978-4-431-53856-1
003 DE-He213
005 20170628040253.0
007 cr nn 008mamaa
008 100914s2010 ja | s |||| 0|eng d
020 _a9784431538561
_9978-4-431-53856-1
024 7 _a10.1007/978-4-431-53856-1
_2doi
050 4 _aTJ210.2-211.495
050 4 _aTJ163.12
072 7 _aTJFM
_2bicssc
072 7 _aTJFD
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTEC037000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aNonami, Kenzo.
_eauthor.
245 1 0 _aAutonomous Flying Robots
_h[electronic resource] :
_bUnmanned Aerial Vehicles and Micro Aerial Vehicles /
_cby Kenzo Nonami, Farid Kendoul, Satoshi Suzuki, Wei Wang, Daisuke Nakazawa.
264 1 _aTokyo :
_bSpringer Japan :
_bImprint: Springer,
_c2010.
300 _aXVII, 329 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aModeling and Control of Small and Mini Rotorcraft UAVs -- Fundamental Modeling and Control of Small and Miniature Unmanned Helicopters -- Autonomous Control of a Mini Quadrotor Vehicle Using LQG Controllers -- Development of Autonomous Quad-Tilt-Wing (QTW) Unmanned Aerial Vehicle: Design, Modeling, and Control -- Linearization and Identification of Helicopter Model for Hierarchical Control Design -- Advanced Flight Control Systems for Rotorcraft UAVs and MAVs -- Analysis of the Autorotation Maneuver in Small-Scale Helicopters and Application for Emergency Landing -- Autonomous Acrobatic Flight Based on Feedforward Sequence Control for Small Unmanned Helicopter -- Mathematical Modeling and Nonlinear Control of VTOL Aerial Vehicles -- Formation Flight Control of Multiple Small Autonomous Helicopters Using Predictive Control -- Guidance and Navigation of Short-Range UAVs -- Guidance and Navigation Systems for Small Aerial Robots -- Design and Implementation of Low-Cost Attitude Quaternion Sensor -- Vision-Based Navigation and Visual Servoing of Mini Flying Machines -- Autonomous Indoor Flight and Precise Automated-Landing Using Infrared and Ultrasonic Sensors.
520 _aThe advance in robotics has boosted the application of autonomous vehicles to perform tedious and risky tasks or to be cost-effective substitutes for their - man counterparts. Based on their working environment, a rough classi cation of the autonomous vehicles would include unmanned aerial vehicles (UAVs), - manned ground vehicles (UGVs), autonomous underwater vehicles (AUVs), and autonomous surface vehicles (ASVs). UAVs, UGVs, AUVs, and ASVs are called UVs (unmanned vehicles) nowadays. In recent decades, the development of - manned autonomous vehicles have been of great interest, and different kinds of autonomous vehicles have been studied and developed all over the world. In part- ular, UAVs have many applications in emergency situations; humans often cannot come close to a dangerous natural disaster such as an earthquake, a ood, an active volcano, or a nuclear disaster. Since the development of the rst UAVs, research efforts have been focused on military applications. Recently, however, demand has arisen for UAVs such as aero-robotsand ying robotsthat can be used in emergency situations and in industrial applications. Among the wide variety of UAVs that have been developed, small-scale HUAVs (helicopter-based UAVs) have the ability to take off and land vertically as well as the ability to cruise in ight, but their most importantcapability is hovering. Hoveringat a point enables us to make more eff- tive observations of a target. Furthermore, small-scale HUAVs offer the advantages of low cost and easy operation.
650 0 _aEngineering.
650 0 _aComputer hardware.
650 1 4 _aEngineering.
650 2 4 _aControl, Robotics, Mechatronics.
650 2 4 _aComputer Hardware.
700 1 _aKendoul, Farid.
_eauthor.
700 1 _aSuzuki, Satoshi.
_eauthor.
700 1 _aWang, Wei.
_eauthor.
700 1 _aNakazawa, Daisuke.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9784431538554
856 4 0 _uhttp://dx.doi.org/10.1007/978-4-431-53856-1
912 _aZDB-2-ENG
999 _c28349
_d28349