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学术预告-An asymmetric information mean-field type LQ stochastic Stackelberg differential game
作者:     供图:     供图:     日期:2020-10-05     来源:    

讲座主题:An asymmetric information mean-field typeLQ stochastic Stackelberg differentialgame

主讲人: 王光臣

工作单位:山东大学

活动时间:2020年10月6日 20:40-21:30

讲座地点:腾讯会议147 754 558

主办单位:99精品视频在线观看数学与信息科学学院

内容摘要:

This talk is concerned with an asymmetric information LQ stochastic Stackelberg differential game with one leader and two followers,where the game system is governed by mean-field type stochastic differentialequation. With the help of some systems of Riccati equations, the followerssolve an MF-type stochastic LQ game problem with partial informationfirst, and then, the leader turns to address an optimal control problem drivenby linear mean-field type forward-backward stochastic differential filtering equation. By maximum principle, direct construction method and optimalfiltering, the open-loop Stackelberg solution is expressed as a feedback form ofstate, state estimation, and state mean.

主讲人介绍:

王光臣,教授、博导,首批青年长江学者。一直从事基于不完备信息的随机系统优化控制理论研究,取得了以倒向分离原理为特色的理论与应用成果,在Springer出版社出版英文专著1部,在控制理论国际知名期刊IEEE-TAC、Automatica和SIAM J. Control Optim.发表学术论文多篇,目前主持国家杰青项目1项,曾获省部级科技奖3项。