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arXiv 1409.6233math.PR
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鲁棒反馈切换控制:动态规划和黏性解

Robust feedback switching control: dynamic programming and viscosity solutions

Erhan Bayraktar, Andrea Cosso, Huyen Pham

摘要:

我们考虑一个鲁棒切换控制问题。控制器只观察状态过程的演变,因此使用反馈(闭环)切换策略,本文介绍的非标准类切换控制。不利的参与者(自然)选择代表所谓的不确定性的开环控制,即,模型的错误描述。然后将(半)游戏切换者与自然的关系公式化为两步(鲁棒)最优化问题。在此框架下,我们发展了随机Perron方法,并证明了它能产生一个包含值函数的Hamilton-Jacobi-Bellman(HJB)变分不等式系统的粘性上下解.结合比较原理,将博弈的价值函数刻画为HJB方程的唯一黏性解,并作为副产品展示了鲁棒反馈切换控制问题的动态规划原理。

英文摘要:

We consider a robust switching control problem. The controller only observes the evolution of the state process, and thus uses feedback (closed-loop) switching strategies, a non standard class of switching controls introduced in this paper. The adverse player (nature) chooses open-loop controls that represent the so-called Knightian uncertainty, i.e., misspecifications of the model. The (half) game switcher versus nature is then formulated as a two-step (robust) optimization problem. We develop the stochastic Perron method in this framework, and prove that it produces a viscosity sub and supersolution to a system of Hamilton-Jacobi-Bellman (HJB) variational inequalities, which envelope the value function. Together with a comparison principle, this characterizes the value function of the game as the unique viscosity solution to the HJB equation, and shows as a byproduct the dynamic programming principle for robust feedback switching control problem.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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