扫频过程最优控制问题的汉密尔顿-雅各比-贝尔曼方法

IF 1.6 2区 数学 Q2 MATHEMATICS, APPLIED
Cristopher Hermosilla, Michele Palladino, Emilio Vilches
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引用次数: 0

摘要

本文关注的是一个受状态约束的最优控制问题,该问题由一个具有可控漂移的莫罗扫频过程所控制。这项工作的重点是无限视界问题的贝尔曼方法。我们尤其关注值函数的正则性及其满足的汉密尔顿-雅各比-贝尔曼方程。我们讨论了一个唯一性结果,并与标准状态约束最优控制问题进行了比较,以突出扫频过程对价值函数的正则效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hamilton–Jacobi–Bellman Approach for Optimal Control Problems of Sweeping Processes

This paper is concerned with a state constrained optimal control problem governed by a Moreau’s sweeping process with a controlled drift. The focus of this work is on the Bellman approach for an infinite horizon problem. In particular, we focus on the regularity of the value function and on the Hamilton–Jacobi–Bellman equation it satisfies. We discuss a uniqueness result and we make a comparison with standard state constrained optimal control problems to highlight a regularizing effect that the sweeping process induces on the value function.

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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
103
审稿时长
>12 weeks
期刊介绍: The Applied Mathematics and Optimization Journal covers a broad range of mathematical methods in particular those that bridge with optimization and have some connection with applications. Core topics include calculus of variations, partial differential equations, stochastic control, optimization of deterministic or stochastic systems in discrete or continuous time, homogenization, control theory, mean field games, dynamic games and optimal transport. Algorithmic, data analytic, machine learning and numerical methods which support the modeling and analysis of optimization problems are encouraged. Of great interest are papers which show some novel idea in either the theory or model which include some connection with potential applications in science and engineering.
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