论文标题

延迟向后随机微分方程的线性二次最佳控制问题

Linear Quadratic Optimal Control Problems of Delayed Backward Stochastic Differential Equations

论文作者

Meng, Weijun, Shi, Jingtao

论文摘要

本文涉及延迟向后随机微分方程的线性二次最佳控制问题。为最佳控制提供了明确表示,这是过去历史的线性反馈和在短时间内未来状态轨迹的线性反馈。这是延迟向后随机线性二次最佳控制问题的主要独特特征之一。为了获得最佳反馈,引入了一类新的延迟riccati方程,并详细讨论了其解决方案的独特解决性。

This paper is concerned with a linear quadratic optimal control problem of delayed backward stochastic differential equations. An explicit representation is derived for the optimal control, which is a linear feedback of the entire past history and the future state trajectory in a short period of time. This is one of the major distinctive features of the delayed backward stochastic linear quadratic optimal control problem. To obtain the optimal feedback, a new class of delayed Riccati equations is introduced and the unique solvability of their solutions are discussed in detail.

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