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发布时间:2013-04-07浏览次数:865

学术报告:多智能体系统控制理论介绍及其在电力网络中的应用探讨 
主 讲 人:于长斌
报告时间:2013年4月8日星期一下午1:30
报告地点:电自大楼902    
参加人员:beat365正版唯一网站app教师、全校相关专业教师和研究生等
报告摘要:本报告是多智能体系统综述。多智能体系统能采用无向图或有向图来建模。图形化的模型可以捕捉特定的设计考虑,这些考虑来自各个传感、通信和控制架构或它们的混合体。实际上,多智能体系统是各种应用系统的抽象体,这些应用系统包括多机器人系统、传感器网络和多节点的电力网络。本报告将重点讨论多智能体系统在电力网络中应用的现状及发展趋势。
个人简历:
  于长斌,博士,IEEE 高级会员,IFAC技术委员会委员,毕业于新加坡南洋理工大学和澳洲国立大学,师从控制学权威,澳大利亚科学院前院长Brian D. O.Andetson, AO教授。2008年起任教于澳洲国立大学工程与计算机学院,2011年7月起特聘为伊丽莎白女王二世研究员,主要研究方向为网络化控制,多智能体的协调与控制、移动传感网等。
 
Topic:
Introduction to Multiagent Systems Control Theory and Discussion of its Potential Application to Power Networks
Abstract:
This talk provides a brief introduction of the control theory of multiagent systems that can be modeled by undirected or directed graphs. The graphical model can capture specific design considerations from each of sensing, communication and control architectures, or a mixture of them. The multiagent systems are abstractions of various application systems ranging from multi-robotic systems, sensor networks and power networks with multiple nodes. In particular, existing and potential application to power networks will be discussed.
bioChangbin (Brad) Yu received B.Eng from Nanyang Technological University (NTU), Singapore in 2004, and a PhD from the Australian National University (ANU), Canberra, Australia in 2008. In the same year, he joined the faculty of the ANU College of Engineering and Computer Science, where he currently holds an ARC Queen Elizabeth II Fellowship. He is also a senior member of IEEE, a member of IFAC Technical Committee, a subject editor of International Journal of Robust and Nonlinear Control, and an associate editor of System and Control Letters. His current research interests include control of networked systems, multiagent (robotic) systems, mobile sensor networks etc.
 
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                                             2013-04-07
 

 

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