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Linear Quadratic Optimal Control Problems for Mean-Field Backward Stochastic Differential Equations

机译:平均落后随机微分方程的线性二次最优控制问题

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摘要

This paper is concerned with linear quadratic optimal control problems for mean-field backward stochastic differential equations (MF-BSDEs, for short) with deterministic coefficients. The optimality system, which is a linear mean-field forward-backward stochastic differential equation with constraint, is obtained by a variational method. By decoupling the optimality system, two coupled Riccati equations and an MF-BSDE are derived. It turns out that the coupled two Riccati equations are uniquely solvable. Then a complete and explicit representation is obtained for the optimal control.
机译:本文涉及具有确定性系数的平均落后随机微分方程(MF-BSDES的MF-BSDES的线性二次最佳控制问题。 通过变分方法获得是具有约束的线性平均场前后向后差分方程的最优性系统。 通过解耦最优系统,推导出两个耦合的Riccati方程和MF-BSDE。 事实证明,耦合的两个Riccati方程是唯一可解的。 然后获得最佳控制的完整和显式表示。

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