A concise introduction to control theory for stochastic partial differential equations

IF 1 4区 数学 Q1 MATHEMATICS Mathematical Control and Related Fields Pub Date : 2021-01-26 DOI:10.3934/MCRF.2021020
Qi Lu, Xu Zhang
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引用次数: 6

Abstract

The aim of this notes is to give a concise introduction to control theory for systems governed by stochastic partial differential equations. We shall mainly focus on controllability and optimal control problems for these systems. For the first one, we present results for the exact controllability of stochastic transport equations, null and approximate controllability of stochastic parabolic equations and lack of exact controllability of stochastic hyperbolic equations. For the second one, we first introduce the stochastic linear quadratic optimal control problems and then the Pontryagin type maximum principle for general optimal control problems. It deserves mentioning that, in order to solve some difficult problems in this field, one has to develop new tools, say, the stochastic transposition method introduced in our previous works.
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随机偏微分方程控制理论的简明介绍
本讲义的目的是对随机偏微分方程控制系统的控制理论作一个简明的介绍。我们将主要关注这些系统的可控性和最优控制问题。对于第一个问题,我们给出了随机输运方程的精确可控性、随机抛物方程的零可控性和近似可控性以及随机双曲方程的缺乏精确可控性的结果。对于随机线性二次最优控制问题,我们首先介绍了随机线性二次最优控制问题,然后介绍了一般最优控制问题的庞特里亚金型极大值原理。值得一提的是,为了解决这一领域的一些难题,人们不得不开发新的工具,比如我们之前的工作中介绍的随机换位法。
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来源期刊
Mathematical Control and Related Fields
Mathematical Control and Related Fields MATHEMATICS, APPLIED-MATHEMATICS
CiteScore
2.50
自引率
8.30%
发文量
67
期刊介绍: MCRF aims to publish original research as well as expository papers on mathematical control theory and related fields. The goal is to provide a complete and reliable source of mathematical methods and results in this field. The journal will also accept papers from some related fields such as differential equations, functional analysis, probability theory and stochastic analysis, inverse problems, optimization, numerical computation, mathematical finance, information theory, game theory, system theory, etc., provided that they have some intrinsic connections with control theory.
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