Speaker:
Dr. Zhang, Hongwei
Title:
Cooperative Tracking Tontrol of Multi-Agent Systems
Time & Place:
Thu, 27 of Oct. 2011, 11 - 12 am
Study Room 1004 in the Library, Humanities Section
Abstract:
In the past few decades, an increasing number of industrial, military and consumer applications call for the cooperation
of multiple interconnected agents. The agents can be autonomous mobile robots, robot manipulators, spacecraft,
unmanned air vehicles (UAVs), or wireless sensors. Such applications include formation of mobile robots, multipoint
surveillance, UAV formation flying, wireless sensor networks, etc. Research of cooperative control is inspired by sociobiological groups, such as flocking birds, schooling fish, where each individual is influenced by its nearest neighbors, while the group behaves as a whole to prevent the predator or explore the environment. The neighborhood interaction plays a vital role in the behavior of multi-agent systems.
This talk will focus on synchronization of identical general linear systems on a directed graph containing a spanning tree. A leader node or command generator is considered, which generates the desired tracking trajectory. It is shown that unbounded synchronization regions that achieve synchronization on arbitrary digraphs containing a spanning tree can be guaranteed by using linear quadratic regulator based optimal control and observer design methods at each node.
In the past few decades, an increasing number of industrial, military and consumer applications call for the cooperation
of multiple interconnected agents. The agents can be autonomous mobile robots, robot manipulators, spacecraft,
unmanned air vehicles (UAVs), or wireless sensors. Such applications include formation of mobile robots, multipoint
surveillance, UAV formation flying, wireless sensor networks, etc. Research of cooperative control is inspired by sociobiological groups, such as flocking birds, schooling fish, where each individual is influenced by its nearest neighbors, while the group behaves as a whole to prevent the predator or explore the environment. The neighborhood interaction plays a vital role in the behavior of multi-agent systems.
This talk will focus on synchronization of identical general linear systems on a directed graph containing a spanning tree. A leader node or command generator is considered, which generates the desired tracking trajectory. It is shown that unbounded synchronization regions that achieve synchronization on arbitrary digraphs containing a spanning tree can be guaranteed by using linear quadratic regulator based optimal control and observer design methods at each node.
About the Speaker:
Hongwei Zhang received his B.E. and M.E. degrees from the Department of Automation, Tianjin University (China) in 2003 and 2006, respectively, and his PhD degree from the Department of Mechanical and Automation Engineering, the Chinese University of Hong Kong in 2010. From July 2009 to December 2010, he was a visiting scholar and subsequently a ostdoctoral researcher at ARRI, the University of Texas at Arlington, Texas, USA. Since February 2011, he has been with the City University of Hong Kong, as a postdoctoral researcher. He serves as a reviewer for many refereed journals and conferences, including Automatica, Systems & Control Letters, IEEE Trans. Neural Netw., and IEEE Conf. Decision Control. His current research interests are cooperative control, neural adaptive control, approximate dynamic programming, and optimal control.
All are welcome
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