Bio-inspired computation in unmanned aerial vehicles /

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Bibliographic Details
Author / Creator:Duan, Haibin, 1976- author.
Imprint:Heidelberg : Springer, [2014]
©2014
Description:1 online resource (xiv, 269 pages) : illustrations (some color)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13357641
Hidden Bibliographic Details
Other authors / contributors:Li, Pei, author.
ISBN:9783642411960
3642411967
9783642411953
3642411959
Digital file characteristics:text file
PDF
Notes:Includes bibliographical references.
English.
Print version record.
Summary:"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 Beihang University (formerly Beijing University of Aeronautics & Astronautics, BUAA). Prof Duan's academic website is: http://hbduan.buaa.edu.cn"--Provided by publisher
Other form:Print version: Duan, Haibin, 1976- Bio-inspired computation in unmanned aerial vehicles. Heidelberg : Springer, [2014] 9783642411953
Standard no.:10.1007/978-3-642-41196-0