Equilibrium strategies for time-inconsistent stochastic switching systems

被引:15
|
作者
Mei, Hongwei [1 ]
Yong, Jiongmin [2 ]
机构
[1] Department of Mathematics, University of Kansas, Lawrence,KS,66045, United States
[2] Department of Mathematics, University of Central Florida, Orlando,FL,32816, United States
关键词
Dynamic programming - Equations of state - Stochastic control systems - Optimal control systems;
D O I
10.1051/cocv/2018051
中图分类号
学科分类号
摘要
An optimal control problem is considered for a stochastic differential equation containing a state-dependent regime switching, with a recursive cost functional. Due to the non-exponential discounting in the cost functional, the problem is time-inconsistent in general. Therefore, instead of finding a global optimal control (which is not possible), we look for a time-consistent (approximately) locally optimal equilibrium strategy. Such a strategy can be represented through the solution to a system of partial differential equations, called an equilibrium Hamilton-Jacob-Bellman (HJB) equation which is constructed via a sequence of multi-person differential games. A verification theorem is proved and, under proper conditions, the well-posedness of the equilibrium HJB equation is established as well. © EDP Sciences, SMAI 2019.
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