Recent Advances in Research on Unmanned Aerial Vehicles (Paperback, 2013 ed.)

A team of launched and coordinated Unmanned aerial vehicles (UAVs), requires advanced technologies in sensing, communication, computing, and control to improve their intelligence and robustness towards autonomous operations. To enhance reliability, robustness, and mission capability of a team of UAVs, a system-oriented and holistic approach is desirable in which all components and subsystems are considered in terms of their roles and impact on the entire system. This volume aims to summarize the recent progress, identify challenges and opportunities, and develop new methodologies and systems on coordinated UAV control. A group of experts working in this area have contributed to this volume in several related aspects of autonomous control of networked UAVs. Their papers introduce new control methodologies, algorithms, and systems that address several important issues in developing intelligent, autonomous or semi-autonomous, networked systems for the next generation of UAVs. The papers share a common focus on improved coordination of the members of the networked system to accomplish a common mission, to achieve heightened capability in system reconfiguration to compensate for lost members or connections, and to enhance robustness against terrain complications and attacks.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Control and Information Sciences, 444
Release date:	April 2013
First published:	2013
Editors:	Fariba Fahroo • Le Yi Wang • George Yin
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Paperback
Pages:	207
Edition:	2013 ed.
ISBN-13:	978-3-642-37693-1
Categories:	Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Professional & Technical > Transport technology > Aerospace & aviation technology > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	3-642-37693-2
Barcode:	9783642376931

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