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Bio-inspired computation in unmanned aerial vehicles / Haibin Duan, Pei Li.

EBSCOhost Academic eBook Collection (North America) Available online

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Format:
Book
Author/Creator:
Duan, Haibin., Author.
Li, Pei, author.
Series:
Gale eBooks
Language:
English
Subjects (All):
Drone aircraft--Control systems.
Drone aircraft.
Physical Description:
1 online resource (xiv, 269 pages) : illustrations (chiefly color)
Edition:
1st ed. 2014.
Place of Publication:
Heidelberg, Germany : Springer, 2014.
Language Note:
English
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.
Contents:
Introduction
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.
Notes:
Description based upon print version of record.
Includes bibliographical references.
ISBN:
9783642411960
3642411967
OCLC:
868991260

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