A Hierarchy of Near-Optimal Policies for

A Hierarchy of Near-Optimal Policies for
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接近最优策略的层次结构

DOI:
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发表时间:
2011
期刊:
影响因子:
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通讯作者:
P. Parrilo
P. Parrilo
中科院分区:
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文献类型:
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作者:
D. Bertsimas;P. Parrilo

文献摘要

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本文提出了一种新的处理不确定性影响下的线性动力系统的框架,适用于多阶段鲁棒优化和随机规划。我们引入了一个层次的近最优多项式扰动反馈控制策略,并展示了如何通过解决一个单一的半定规划问题来计算这些。该方法通过一个变量(多项式策略的阶数)对层次结构进行参数化,从而控制最优性差距和计算要求之间的权衡。我们评估我们的框架的背景下,三个经典的appli-阳离子两个在库存管理中,一个在鲁棒调节的主动悬架系统,其中非常强大的数值表现,在相对温和的计算费用。
In this paper, we propose a new tractable framework for dealing with linear dynamical systems affected by uncertainty, applicable to multistage robust optimization and stochastic pro- gramming. We introduce a hierarchy of near-optimal polynomial disturbance-feedback control policies, and show how these can be computed by solving a single semidefinite programming problem. Theapproachyieldsahierarchyparameterizedbyasinglevariable (the degree of the polynomial policies), which controlsthe trade-off between the optimality gap and the computational requirements. We evaluate our framework in the context of three classical appli- cations—two in inventory management, and one in robust regula- tion of an active suspension system—in which very strong numer- ical performance is exhibited, at relatively modest computational expense.