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Titlebook: Bio-inspired Computation in Unmanned Aerial Vehicles; Haibin Duan,Pei Li Book 2014 Springer-Verlag Berlin Heidelberg 2014 Bio-Inspired Com

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期刊全称Bio-inspired Computation in Unmanned Aerial Vehicles
影响因子2023Haibin Duan,Pei Li
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发行地址The only book focused on the bio-inspired computation in UAVs.Proposes the conceptual framework and the implementation procedures.Investigates the challenging issues in multiple UAVs cooperation
图书封面Titlebook: Bio-inspired Computation in Unmanned Aerial Vehicles;  Haibin Duan,Pei Li Book 2014 Springer-Verlag Berlin Heidelberg 2014 Bio-Inspired Com
影响因子.Bio-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
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Bio-inspired Computation Algorithms, Swarm behaviors in animal groups such as bird flocks, bees, ants, fish schools, and sheep herds, as well as insects like mosquitoes, ants, and bees, often exhibit incredible abilities to solve complex problems that seem far beyond their capabilities. This chapter mainly focuses on the biological in
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UAV Modeling and Controller Design,s the whole system’s performance directly, is crucial for the simulation training system design. This chapter mainly focuses on parameter identification of flight control system based on the modeling of UAVs and a specific controller design for the pendulum-like oscillation in micro aerial vehicle (
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Multiple UAV/UGV Heterogeneous Control,rating airspeed and altitude, combined with attitude uncertainty, placing a lower limit on their ability to resolve and localize ground features. Unmanned ground vehicles (UGVs) can be deployed to accurately locate ground targets, but they have the disadvantage of not being able to move rapidly or s
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