New PDF release: Bio-inspired Computation in Unmanned Aerial Vehicles

By Haibin Duan, Pei Li

ISBN-10: 3642411959

ISBN-13: 9783642411953

ISBN-10: 3642411967

ISBN-13: 9783642411960

Bio-inspired Computation in Unmanned Aerial Vehicles specializes in the points of course making plans, formation regulate, heterogeneous cooperative keep an eye on and vision-based surveillance and navigation in Unmanned Aerial cars (UAVs) from the point of view of bio-inspired computation. It is helping readers to achieve a complete knowing of control-related difficulties in UAVs, offering the newest advances in bio-inspired computation.

By combining bio-inspired computation and UAV regulate difficulties, key questions are explored intensive, and every piece is content-rich whereas closing obtainable. With considerable illustrations of simulation paintings, this booklet hyperlinks idea, algorithms and implementation approaches, demonstrating the simulation effects with pix which are intuitive with out sacrificing educational rigor. extra, it will pay due consciousness to either the conceptual framework and the implementation procedures.

The publication bargains a useful source for scientists, researchers and graduate scholars within the box of keep an eye on, Aerospace know-how and Astronautics, specially these drawn to synthetic intelligence and Unmanned Aerial Vehicles.

Professor Haibin Duan and Dr. Pei Li, either paintings at Beihang college (formerly Beijing college of Aeronautics & Astronautics, BUAA). Prof Duan's educational site is:

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Extra resources for Bio-inspired Computation in Unmanned Aerial Vehicles

Sample text

Inherently scalable: Emergent systems are very robust to the addition and subtraction of members, so such systems could work well in high-risk situations. Of course, emergent behavior has its drawbacks: 1. Results are probabilistic. One cannot say exactly when an outcome will happen, just that there is a probability distribution that it will occur within some interval which depends on the number of individuals, their micro behaviors, and the environment. 2. Execution is nondeterministic. ” 3. Chaotic behaviors are possible.

There are some key problems to tackle with, such as the number of reconnaissance UAVs or UGVs used in a number of interactions, the network delay for central positioning, and the perceiving ability of attack systems for positioning centers. Dasgupta (2008) mainly focused on the coordination aspects between UAVs to efficiently decide how they are to act by using a swarming mechanism and described algorithms for the different operations performed by the UAVs in the system and for different swarming strategies, which are embedded within software agents located on the UAVs.

International Computer Science Institute, Berkeley, CA Sun C, Duan H (2012) A restricted-direction target search approach based on coupled routing and optical sensor tasking optimization. Optik 123(24):2226–2229 Teodorovi´c D, Dell’Orco M (2005) Bee colony optimization–a cooperative learning approach to complex transportation problems. In: Proceedings of 16th Mini-EURO Conference and 10th Meeting of EWGT, Poznan. Publishing House of the Polish Operational and System Research, pp 51–60 Weatherington D, Deputy U (2005) Unmanned Aircraft Systems Roadmap, 2005–2030.

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Bio-inspired Computation in Unmanned Aerial Vehicles by Haibin Duan, Pei Li

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