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Wei Ren

Distributed Coordination of Multi-agent Networks

Emergent Problems, Models, and Issues

Ebook (PDF Format)

Multi-agent systems have numerous civilian, homeland security, and military applications; however, for all these applications, communication bandwidth, sensing range, power constraints, and stealth requirements preclude centralized command and control. The alternative is distributed coordination, which is more promising in terms of scalability, robustness, and flexibility. Distributed Coordination of Multi-agent Networks introduces problems, models, and issues such as collective periodic motion coordination, collective tracking with a dynamic leader, and containment control with multiple leaders, and explores ideas for their solution. Solving… Mehr

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Produktdetails


Weitere Autoren: Cao, Yongcan
  • ISBN: 978-0-85729-169-1
  • EAN: 9780857291691
  • Produktnummer: 13883215
  • Verlag: Springer-Verlag GmbH
  • Sprache: Englisch
  • Erscheinungsjahr: 2010
  • Seitenangabe: 310 S.
  • Plattform: PDF
  • Masse: 8'066 KB
  • Auflage: 2011
  • Abbildungen: 2 schwarz-weiße Tabellen, Bibliographie

Über den Autor


Wei Ren received the B.S. degree in electrical engineering from Hohai University, China, in 1997, the M.S. degree in mechatronics from Tongji University, China, in 2000, and the Ph.D. degree in electrical engineering from Brigham Young University, Provo, UT, in 2004. From October 2004 to July 2005, he was a Postdoctoral Research Associate with the Department of Aerospace Engineering, University of Maryland, College Park. Since August 2005, he has been with the Department of Electrical and Computer Engineering, Utah State University, Logan, where he is currently an Associate Professor. He is an author of the book Distributed Consensus in Multi-Vehicle Cooperative Control (Springer-Verlag, 2008). His research focuses on distributed control of multi-agent systems, networked cyber-physical systems, and autonomous control of unmanned vehicles. Dr. Ren was a recipient of the National Science Foundation CAREER Award in 2008. He is currently an Associate Editor for Systems and Control Letters and an Associate Editor on the IEEE Control Systems Society Conference Editorial Board.Yongcan Cao received the B.S. degree from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2003 and the M.S. degree from Shanghai Jiao Tong University, Shanghai, China, in 2006, and the Ph.D. degree from Utah State University, Logan, in 2010, all in electrical engineering. His research interest focuses on cooperative control and information consensus of multi-agent systems.

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