建校70周年系列学术活动:加拿大卡尔顿大学黄民懿教授学术讲座

发布日期:2025-05-26点击:[]

讲座题目:稠密与稀疏网络极限下的平均场博弈(Mean field games within dense and sparse network limits

讲 座 人:黄民懿 教授

讲座时间:2025528日(周三)15:00

讲座地点:龙湖校区10号楼218会议室

讲座内容:

平均场博弈(Mean Field Game, MFG)理论已成为解决具有个体-群体交互特性的大规模非合作动态博弈问题的有力工具,并在工程、经济金融、公共卫生等领域得到广泛应用。本次报告将阐述如何将MFG理论拓展至大规模网络分布式子种群模型,以及如何通过恰当的标度变换获得具有理论意义的极限形式,从而在大型稀疏网络极限下准确刻画相邻子种群间的交互影响。

主讲人简介:

Minyi Huang received the B.Sc. degree from Shandong University, Jinan, Shandong, China, in 1995, the M.Sc. degree from the Institute of Systems Science, Chinese Academy of Sciences, Beijing, in 1998, and the Ph.D. degree from the Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada, in 2003, all in systems and control. He was a Research Fellow first at the University of Melbourne, Australia, from February 2004 to March 2006, and then at the Australian National University, Canberra, from April 2006 to June 2007. He joined the School of Mathematics and Statistics, Carleton University, Ottawa, ON, Canada in 2007, where he is now a Professor. His research interests include mean field stochastic control and dynamic games, multi-agent control and computation in distributed networks with applications. He is a Fellow of IEEE and a member of SIAM.



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科技处   自动化与电气工程学院

2025526


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