Optimal control of SDEs with expected path constraints and related constrained FBSDEs

IF 0.8 2区 数学 Q3 STATISTICS & PROBABILITY Probability Uncertainty and Quantitative Risk Pub Date : 2022-01-02 DOI:10.3934/puqr.2022020
Ying Hu, Shanjian Tang, Z. Xu
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Abstract

In this paper, we consider optimal control of stochastic differential equations subject to an expected path constraint. The stochastic maximum principle is given for a general optimal stochastic control in terms of constrained FBSDEs. In particular, the compensated process in our adjoint equation is deterministic, which seems to be new in the literature. For the typical case of linear stochastic systems and quadratic cost functionals (i.e., the so-called LQ optimal stochastic control), a verification theorem is established, and the existence and uniqueness of the constrained reflected FBSDEs are also given.
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具有期望路径约束的SDEs及相关约束FBSDEs的最优控制
本文研究具有期望路径约束的随机微分方程的最优控制问题。给出了约束FBSDEs的一般最优随机控制的随机极大值原理。特别是伴随方程中的补偿过程是确定性的,这在文献中似乎是新的。对于线性随机系统和二次代价函数的典型情况(即所谓的LQ最优随机控制),建立了验证定理,并给出了约束反射FBSDEs的存在唯一性。
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来源期刊
CiteScore
1.60
自引率
13.30%
发文量
29
审稿时长
12 weeks
期刊介绍: Probability, Uncertainty and Quantitative Risk (PUQR) is a quarterly academic journal under the supervision of the Ministry of Education of the People's Republic of China and hosted by Shandong University, which is open to the public at home and abroad (ISSN 2095-9672; CN 37-1505/O1). Probability, Uncertainty and Quantitative Risk (PUQR) mainly reports on the major developments in modern probability theory, covering stochastic analysis and statistics, stochastic processes, dynamical analysis and control theory, and their applications in the fields of finance, economics, biology, and computer science. The journal is currently indexed in ESCI, Scopus, Mathematical Reviews, zbMATH Open and other databases.
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