斯塔克伯格竞赛
微分博弈
随机微分方程
数学
Riccati方程
类型(生物学)
国家(计算机科学)
应用数学
微分方程
数学优化
数理经济学
数学分析
算法
生态学
生物
作者
Guangchen Wang,Yu Wang,Susu Zhang
摘要
Summary This paper is concerned with an asymmetric information linear‐quadratic (AILQ) stochastic Stackelberg differential game with one leader and two followers, where the game system is governed by mean‐field type stochastic differential equation (MF‐SDE). With the help of two systems of Riccati equations, the followers solve a MF‐type stochastic LQ game problem with partial information first, and then, the leader turns to address an optimal control problem driven by linear MF‐type forward‐backward stochastic differential filtering equation (MF‐FBSDFE). By maximum principle, direct construction method and optimal filtering, the open‐loop Stackelberg solution is expressed as a feedback form of state, state estimation, and state mean.
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