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学术报告:Formation Control and Analysis of Multi-Robot
Systems
发布日期:2018-11-15浏览次数:字号:[ ]

报告题目:Formation Control and Analysis of Multi-Robot Systems

人:石碰教授, 澳大利亚阿德莱德大学 IEEE Fellow

报告时间:11月16日(周五)下午330

报告地点:信息工程学院2314会议室

主办单位:信息工程学院、科学技术处

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Peng Shi received the PhD degree in Electrical Engineering from the University of Newcastle, Australia in 1994; and the PhD degree in Mathematics from the University of South Australia in 1998. He was awarded two higher doctorate degrees, the Doctor of Science degree from the University of Glamorgan, UK in 2006, and the Doctor of Engineering degree from the University of Adelaide in 2015.

 

Dr Shi is now a distinguished professor, chair of systems and control at the University of Adelaide, Australia. His research interests include system and control theory, computational intelligence and operational research. He is a Fellow of Institute of Electrical and Electronic Engineers, the Institution of Engineering and Technology, the Institute of Mathematics and its Applications, and the Institution of Engineers, Australia. He was the Chair of Control Aerospace and Electronic Systems Chapter, IEEE South Australia Section, and an IEEE Distinguished Lecturer.  He has served in the editorial board for a number of scientific journals as editor, subject editor, special issue editor, associate editor, including Automatica, IEEE Transactions on Automatic Control; IEEE Transactions on Fuzzy Systems; IEEE Transactions on Cybernetics; IEEE Transactions on Circuits and Systems; IEEE Access; IEEE Control Systems Letters; Information Sciences; Signal Processing; etc.

 

 

Formation Control and Analysis of Multi-Robot Systems

Multi-robot Systems are systems with characteristics of cooperation and decentralization. As the robots often work under complex circumstances, limitations of the hardware that include limited and short-range communication and short-range and passive sensing are likely to be present. As a result of the localization conditions above, the robots need to cooperate in a distributed manner. The fundamental objective for the system is to reach a desired formation of the robots and maintain the formation.

In this talk, the formation control problem for a team of robots will be introduced. We will consider the sensors on the robots have limited ranges, that could be limited or none communication among the robots; and the objective formation could have variable scales or in an arbitrary shape. The robots have to work independently in an interactive and cooperative manner. Control and protocol design will be presented and analysed. Examples will be given to demonstrate the effectiveness of the proposed techniques.





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