Autor: Randal Beard

Ajutor
Wei Ren is an assistant professor in the Department of Electrical and Computer Engineering at Utah State University. He received his Ph.D. degree in electrical engineering from Brigham Young University, Provo, UT, in 2004. From October 2004 to July 2005, he was a research associate in the Department of Aerospace Engineering at the University of Maryland, College Park, MD. His research has been focusing on cooperative control for multiple autonmous vehicles and autonomous control of robotic vehicles. He is a member of the IEEE Control Systems Society and AIAA.   Randal W. Beard received the B.S. degree in electrical engineering from the University of Utah, Salt Lake City in 1991, the M.S. degree in electrical engineering in 1993, the M.S. degree in mathematics in 1994, and the Ph.D. degree in electrical engineering in 1995, all from Rensselaer Polytechnic Institute, Troy, NY. Since 1996, he has been with the Electrical and Computer Engineering Department at Brigham Young University, Provo, UT, where he is currently an associate professor. In 1997 and 1998, he was a Summer Faculty Fellow at the Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA. In 2006 and 2007 he was a visiting research fellow at the Air Force Research Laboratory, Munitions Directorate, Eglin AFB, FL. His primary research focus is autonomous control of miniature air vehicles and multivehicle coordination and control. He is currently an associate editor for the IEEE Control Systems Magazine and the Journal of Intelligent and Robotic Systems.




2 Ebooks de Randal Beard

Wei Ren & Randal Beard: Distributed Consensus in Multi-vehicle Cooperative Control
Information consensus guarantees that robot vehicles sharing information over a network topology have a consistent view of information critical to the coordination task. Assuming only neighbor-neighb …
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€171.19
Kimon P. Valavanis & Randal Beard: Selected papers from the 2nd International Symposium on UAVs, Reno, U.S.A. June 8-10, 2009
In the last decade, signi?cant changes have occurred in the ?eld of vehicle motion planning, and for UAVs in particular. UAV motion planning is especially dif?cult due to several complexities not …
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€213.99