混合控制模型中的松弛和线性规划

Q4 Mathematics
Héctor Jasso-Fuentes, J. Menaldi
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引用次数: 0

摘要

. 给出了混合控制问题的一些最优性结果。所研究的混合模型由两个子动力学组成,一个是由常微分方程控制的标准型子动力学,另一个是具有离散演化的特殊型子动力学。我们关注的是当系统的状态达到状态空间的一个给定的固定区域时,子动力学之间的相互作用才会发生的情况。控制器能够应用两个控制,每个控制应用于两个子动力学中的一个,而状态遵循连续型和离散型的复合演变。通过松弛技术,我们证明了一对控制的存在性,使产生的(贴现的)成本最小化。我们通过引入一个辅助的无限维线性规划来结束分析,以证明初始控制问题与相关的松弛控制问题之间的等价性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relaxation and linear programs in a hybrid control model
. Some optimality results for hybrid control problems are pre-sented. The hybrid model under study consists of two subdynamics, one of a standard type governed by an ordinary differential equation, and the other of a special type having a discrete evolution. We focus on the case when the interaction between the subdynamics takes place only when the state of the system reaches a given fixed region of the state space. The controller is able to apply two controls, each applied to one of the two subdynamics, whereas the state follows a composite evolution, of continuous type and discrete type. By the relaxation technique, we prove the existence of a pair of controls that minimizes an incurred (discounted) cost. We conclude the analysis by introducing an auxiliary infinite-dimensional linear program to show the equivalence between the initial control problem and its associated relaxed counterpart.
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来源期刊
Applicationes Mathematicae
Applicationes Mathematicae Mathematics-Applied Mathematics
CiteScore
0.30
自引率
0.00%
发文量
7
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