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Necessary condition for near optimal control of linear forward-backward stochastic differential equations

机译:线性正-后倒向随机微分方程近最优控制的必要条件

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摘要

This paper investigates the near optimal control for a kind of linear stochastic control systems governed by the forward-backward stochastic differential equations, where both the drift and diffusion terms are allowed to depend on controls and the control domain is not assumed to be convex. In the previous work (Theorem 3.1) of the second and third authors, some problem of near optimal control with the control dependent diffusion is addressed and our current paper can be viewed as some direct response to it. The necessary condition of the near-optimality is established within the framework of optimality variational principle developed by Yong and obtained by the convergence technique to treat the optimal control of FBSDEs in unbounded control domains by Wu. Some new estimates are given here to handle the near optimality. In addition, an illustrating example is discussed as well.
机译:本文研究了由前向后随机微分方程控制的一类线性随机控制系统的近最优控制,其中漂移项和扩散项均取决于控制,并且控制域不被认为是凸的。在第二和第三作者的先前工作(定理3.1)中,解决了一些依赖控制扩散的近最优控制问题,我们的当前论文可被视为对其的直接响应。在Yong提出的最优变分原理的框架内,建立了接近最优的必要条件,并通过收敛技术得到了无约束控制域中FBSDE的最优控制。这里给出一些新的估计值来处理接近最优的情况。另外,还讨论了说明性示例。

著录项

  • 作者

    Zhang, L; Huang, J; Li, X;

  • 作者单位
  • 年度 2015
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  • 原文格式 PDF
  • 正文语种 en
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