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Title: Optimal control of SDEs with expected path constraints and related constrained FBSDEs
Authors: Hu, Y
Tang, S
Xu, ZQ 
Issue Date: Dec-2022
Source: Probability uncertainty and quantitative risk, Dec. 2022, v. 7, no. 4, p. 365-384
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.
Keywords: Expected path constraint
Optimal stochastic control
Reflected FBSDE
Stochastic maximum principle
Publisher: American Institute of Mathematical Sciences
Journal: Probability uncertainty and quantitative risk 
ISSN: 2367-0126
DOI: 10.3934/puqr.2022020
Rights: © Shandong University and AIMS, LLC
This article has been published in a revised form in Probability, Uncertainty and Quantitative Risk https://www.aimsciences.org/puqr. This version is free to download for private research and study only. Not for redistribution, resale or use in derivative works.
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