000 03383nam a22005535i 4500
001 978-3-642-41196-0
003 DE-He213
005 20200421111201.0
007 cr nn 008mamaa
008 140102s2014 gw | s |||| 0|eng d
020 _a9783642411960
_9978-3-642-41196-0
024 7 _a10.1007/978-3-642-41196-0
_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 _aDuan, Haibin.
_eauthor.
245 1 0 _aBio-inspired Computation in Unmanned Aerial Vehicles
_h[electronic resource] /
_cby Haibin Duan, Pei Li.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2014.
300 _aXIV, 269 p. 139 illus., 95 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 -- Bio-inspired Computation Algorithms -- UAV Modeling and Controller Design -- UAV Path Planning -- Multiple UAVs Formation Control -- Multiple UAV/UGVs Heterogeneous Cooperative Control -- Biological Vision-based Surveillance and Navigation -- Conclusions and Outlook.
520 _aBio-inspired Computation in Unmanned Aerial Vehicles focuses on the aspects of path planning, formation control, heterogeneous cooperative control and vision-based surveillance and navigation in Unmanned Aerial Vehicles (UAVs) from the perspective of bio-inspired computation. It helps readers to gain a comprehensive understanding of control-related problems in UAVs, presenting the latest advances in bio-inspired computation. By combining bio-inspired computation and UAV control problems, key questions are explored in depth, and each piece is content-rich while remaining accessible. With abundant illustrations of simulation work, this book links theory, algorithms and implementation procedures, demonstrating the simulation results with graphics that are intuitive without sacrificing academic rigor. Further, it pays due attention to both the conceptual framework and the implementation procedures. The book offers a valuable resource for scientists, researchers and graduate students in the field of Control, Aerospace Technology and Astronautics, especially those interested in artificial intelligence and Unmanned Aerial Vehicles. Professor Haibin Duan and Dr. Pei Li, both work at Beihang University (formerly Beijing University of Aeronautics & Astronautics, BUAA). Prof Duan's academic website is: http://hbduan.buaa.edu.cn.
650 0 _aEngineering.
650 0 _aAutomotive engineering.
650 0 _aAerospace engineering.
650 0 _aAstronautics.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aMechatronics.
650 1 4 _aEngineering.
650 2 4 _aControl, Robotics, Mechatronics.
650 2 4 _aAerospace Technology and Astronautics.
650 2 4 _aAutomotive Engineering.
700 1 _aLi, Pei.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642411953
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-41196-0
912 _aZDB-2-ENG
942 _cEBK
999 _c53851
_d53851