Non-homogeneous stochastic linear-quadratic optimal control problems with multi-dimensional state and regime switching

Fuente: arXiv
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Autori principali: Chen, Yuyang, Luo, Peng
Natura: Preprint
Pubblicazione: 2024
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author Chen, Yuyang
Luo, Peng
author_facet Chen, Yuyang
Luo, Peng
contents In this paper, we study non-homogeneous stochastic linear-quadratic (LQ) optimal control problems with multi-dimensional state and regime switching. We focus on the corresponding stochastic Riccati equation, which is the same as that one in homogeneous stochastic LQ optimal control problem, and the adjoint backward stochastic differential equation (BSDE), which arises from the non-homogeneous terms in the state equation and cost functional. Both stochastic Riccati equation and adjoint BSDE are solved by the contraction mapping method, and are used to represent the closed-loop optimal control and the optimal value of our problems.
format Preprint
id arxiv_https___arxiv_org_abs_2404_00382
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Non-homogeneous stochastic linear-quadratic optimal control problems with multi-dimensional state and regime switching
Chen, Yuyang
Luo, Peng
Optimization and Control
In this paper, we study non-homogeneous stochastic linear-quadratic (LQ) optimal control problems with multi-dimensional state and regime switching. We focus on the corresponding stochastic Riccati equation, which is the same as that one in homogeneous stochastic LQ optimal control problem, and the adjoint backward stochastic differential equation (BSDE), which arises from the non-homogeneous terms in the state equation and cost functional. Both stochastic Riccati equation and adjoint BSDE are solved by the contraction mapping method, and are used to represent the closed-loop optimal control and the optimal value of our problems.
title Non-homogeneous stochastic linear-quadratic optimal control problems with multi-dimensional state and regime switching
topic Optimization and Control
url https://arxiv.org/abs/2404.00382