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An Indefinite Stochastic Linear Quadratic Optimal Control Problem with Delay and Related Forward–Backward Stochastic Differential Equations

机译:延迟和相关前后随机微分方程的无限期随机线性二次最优控制问题

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In this paper, we will study an indefinite stochastic linear quadratic optimal control problem, where the controlled system is described by a stochastic differential equation with delay. By introducing the relaxed compensator as a novel method, we obtain the well-posedness of this linear quadratic problem for indefinite case. And then, we discuss the uniqueness and existence of the solutions for a kind of anticipated forward–backward stochastic differential delayed equations. Based on this, we derive the solvability of the corresponding stochastic Hamiltonian systems, and give the explicit representation of the optimal control for the linear quadratic problem with delay in an open-loop form. The theoretical results are validated as well on the control problems of engineering and economics under indefinite condition.
机译:在本文中,我们将研究一个无限期的随机线性二次最佳控制问题,其中受控系统由具有延迟的随机微分方程描述。 通过将松弛补偿器作为一种新方法引入,我们获得了无限壳体的这种线性二次问题的良好姿势。 然后,我们讨论了一种预期前后随机随机差动延迟方程的解决方案的唯一性和存在。 基于此,我们推出了相应的随机汉密尔顿系统的可解性,并在开环形式中延迟延迟了对线性二次问题的最佳控制的明确表示。 在无限条件下,理论结果也验证了工程与经济的控制问题。

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