Maximum principle for discrete-time robust stochastic optimal control problem

Fuente: arXiv
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Main Author: He, Wei
Format: Preprint
Published: 2025
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_version_ 1866915460412342272
author He, Wei
author_facet He, Wei
contents This paper firstly presents the necessary and sufficient conditions for a kind of discrete-time robust stochastic optimal control problem with convex control domains. As it is an "inf sup problem", the classical variational method is invalid. We obtain the variational inequality with a common reference probability by systematically using weak convergence approach and the minimax theorem. Moreover, a discrete-time robust investment problem is also studied where the explicit optimal control is given.
format Preprint
id arxiv_https___arxiv_org_abs_2508_17249
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Maximum principle for discrete-time robust stochastic optimal control problem
He, Wei
Optimization and Control
Probability
93C55, 93E20, 60H30
G.3
This paper firstly presents the necessary and sufficient conditions for a kind of discrete-time robust stochastic optimal control problem with convex control domains. As it is an "inf sup problem", the classical variational method is invalid. We obtain the variational inequality with a common reference probability by systematically using weak convergence approach and the minimax theorem. Moreover, a discrete-time robust investment problem is also studied where the explicit optimal control is given.
title Maximum principle for discrete-time robust stochastic optimal control problem
topic Optimization and Control
Probability
93C55, 93E20, 60H30
G.3
url https://arxiv.org/abs/2508.17249