03145nam a22004695i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050002000172050001300192072001700205072001700222072002300239072002300262082001400285100002700299245010700326264008200433300006600515336002600581337002600607338003600633347002400669505028800693520134300981650001702324650001802341650001702359650003702376650004302413650002802456700002202484710003402506773002002540776003602560856004802596912001402644999001702658978-3-642-41196-0DE-He21320140220082521.0cr nn 008mamaa140102s2014    gw |    s    |||| 0|eng d  a97836424119609978-3-642-41196-07 a10.1007/978-3-642-41196-02doi 4aTJ210.2-211.495 4aTJ163.12 7aTJFM2bicssc 7aTJFD2bicssc 7aTEC0040002bisacsh 7aTEC0370002bisacsh04a629.82231 aDuan, Haibin.eauthor.10aBio-inspired Computation in Unmanned Aerial Vehiclesh[electronic resource] /cby Haibin Duan, Pei Li. 1aBerlin, Heidelberg :bSpringer Berlin Heidelberg :bImprint: Springer,c2014.  aXIV, 269 p. 139 illus., 95 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 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.  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 0aEngineering. 0aAstronautics.14aEngineering.24aControl, Robotics, Mechatronics.24aAerospace Technology and Astronautics.24aAutomotive Engineering.1 aLi, Pei.eauthor.2 aSpringerLink (Online service)0 tSpringer eBooks08iPrinted edition:z978364241195340uhttp://dx.doi.org/10.1007/978-3-642-41196-0  aZDB-2-ENG  c93476d93476