LEADER 03012oam  2200469   450 
001 9910299715603321
005 20190911112726.0
010   $a3-642-41196-7
024 7 $a10.1007/978-3-642-41196-0
035   $a(OCoLC)868991260
035   $a(MiFhGG)GVRL6VLV
035   $a(EXLCZ)993710000000083624
100   $a20140411d2014      uy             0
101 0 $aeng
135   $aurun|---uuuua
181   $ctxt
182   $cc
183   $acr
200 10$aBio-inspired computation in unmanned aerial vehicles /$fHaibin Duan, Pei Li
205   $a1st ed. 2014.
210  1$aHeidelberg, Germany :$cSpringer,$d2014.
215   $a1 online resource (xiv, 269 pages) $cillustrations (chiefly color)
225 0 $aGale eBooks
300   $aDescription based upon print version of record.
311   $a3-642-41195-9 
320   $aIncludes bibliographical references.
327   $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.
330   $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.
606   $aDrone aircraft$xControl systems
615  0$aDrone aircraft$xControl systems.
676   $a620
676   $a629.1
676   $a629.132
676   $a629.2
700   $aDuan$b Haibin$4aut$4http://id.loc.gov/vocabulary/relators/aut$0924539
702   $aLi$b Pei
801  0$bMiFhGG
801  1$bMiFhGG
906   $aBOOK
912   $a9910299715603321
996   $aBio-inspired Computation in Unmanned Aerial Vehicles$92075320
997   $aUNINA