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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書目名稱Bio-inspired Computation in Unmanned Aerial Vehicles影響因子(影響力)學(xué)科排名




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書目名稱Bio-inspired Computation in Unmanned Aerial Vehicles被引頻次




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書目名稱Bio-inspired Computation in Unmanned Aerial Vehicles讀者反饋學(xué)科排名

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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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