TY - JOUR
T1 - Time-critical cooperative control of multiple autonomous vehicles
T2 - Robust distributed strategies for path-following control and time-coordination over dynamic communications networks
AU - Xargay, Enric
AU - Dobrokhodov, Vladimir
AU - Kaminer, Isaac
AU - Pascoal, António M.
AU - Hovakimyan, Naira
AU - Cao, Chengyu
N1 - Funding Information:
Research was supported in part by the U.S. Special Operations Command, the U.S. Office of Naval Research, the U.S. Air Force Office of Scientific Research, the U.S. Army Research Office, the European Commission, and Fundação para a Ciência e a Tecnologia. The authors would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the quality of the article.
Funding Information:
Isaac Kaminer received a Ph.D. in electrical engineering from the University of Michigan in 1992. Before that he spent four years working at Boeing Commercial, first as a control engineer in the 757/767/747-400 Flight Management Computer Group and then as an engineer in the Flight Control Research Group. Since 1992 he has been with the Naval Postgraduate School first at the Aeronautics and Astronautics Department and currently at the Department of Mechanical and Aerospace Engineering where he is a professor. He has over 20 years of experience in the development and flight testing of guidance, navigation, and control algorithms for both manned and unmanned aircraft. His more recent efforts were focused on development of coordinated control strategies for multiple UAVs and vision-based guidance laws for a single UAV. He has coauthored more than 100 refereed publications. Over the years his research has been supported by ONR, NASA, the U.S. Army, NAVAIR, and USSOCOM.
PY - 2012
Y1 - 2012
N2 - Worldwide, there has been growing interest in the use of autonomous vehicles to execute missions of increasing complexity without constant supervision of human operators. A key enabling element for the execution of such missions is the availability of advanced systems for motion control of autonomous vehicles. Usually, the problems of motion control for a single autonomous vehicle are roughly classified into three groups:.
AB - Worldwide, there has been growing interest in the use of autonomous vehicles to execute missions of increasing complexity without constant supervision of human operators. A key enabling element for the execution of such missions is the availability of advanced systems for motion control of autonomous vehicles. Usually, the problems of motion control for a single autonomous vehicle are roughly classified into three groups:.
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U2 - 10.1109/MCS.2012.2205477
DO - 10.1109/MCS.2012.2205477
M3 - Review article
AN - SCOPUS:84875740274
SN - 1066-033X
VL - 32
SP - 49
EP - 73
JO - IEEE Control Systems
JF - IEEE Control Systems
IS - 5
ER -