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學術預告-An asymmetric information mean-field type LQ stochastic Stackelberg differential game
作者:     供圖:     供圖:     日期:2020-10-05     來源:    

講座主題:An asymmetric information mean-field typeLQ stochastic Stackelberg differentialgame

主講人: 王光臣

工作單位:山東大學

活動時間:2020年10月6日 20:40-21:30

講座地點:騰訊會議147 754 558

主辦單位:煙臺大學數(shù)學與信息科學學院

內容摘要:

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.

主講人介紹:

王光臣,山東大學控制學院教授、博導,首批青年長江學者。一直從事基于不完備信息的隨機系統(tǒng)優(yōu)化控制理論研究,取得了以倒向分離原理為特色的理論與應用成果,在Springer出版社出版英文專著1部,在控制理論國際知名期刊IEEE-TAC、Automatica和SIAM J. Control Optim.發(fā)表學術論文多篇,目前主持國家杰青項目1項,曾獲省部級科技獎3項。