Solution to Forward-Backward Stochastic Differential Equations With Random Coefficients and Application to Deterministic Optimal Control
成果类型:
Article
署名作者:
Li, Hongdan; Xu, Juanjuan; Zhang, Huanshui
署名单位:
Shandong University of Science & Technology; Shandong University
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2022.3144331
发表日期:
2022
页码:
6888-6895
关键词:
Index Terms-Coupled stochastic Riccati-type differential equa-tions
Discretization
linear coupled forward-backward stochastic differential equations (FBSDEs)
random coefficients
摘要:
We address forward-backward stochastic differential equations (FBSDEs) with random coefficients. Differently from previous approaches, we consider FBSDEs with coefficients that are random and correlated with forward and backward variables. In addition, expectation terms appear in the forward equation, and this makes challenging to solve coupled FBSDEs, e.g., those coming from corporations' fiscal policy planning. Using a discretization approach, an analytic solution to the FBSDEs is given in terms of coupled stochastic Riccati-type differential equations. We also apply our results to optimal deterministic control problem for Ito stochastic systems with both random and deterministic coefficients. Our results show that the discretization approach is a powerful tool to decouple complex FBSDEs.
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