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

In this paper, we explore non-homogeneous stochastic linear-quadratic (LQ) optimal control problems with multidimensional states and regime switching. We focus on the corresponding stochastic Riccati equation (SRE), which mirrors that of the 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. We solve both the SRE and adjoint BSDE using the contraction mapping method, which helps represent the closed-loop optimal control and the optimal value of our problems. In particular, we extend some results of Hu et al. [7] to the multidimensional case.

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Publication Details

Journal
Probability Uncertainty and Quantitative Risk
Published
2025-01-01
DOI
https://doi.org/10.3934/puqr.2025002
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Peng Luo, Yuyang Chen
Probability Uncertainty and Quantitative Risk
Stochastic processes and financial applications
article

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

Peng Luo, Yuyang Chen
article en

Abstract

In this paper, we explore non-homogeneous stochastic linear-quadratic (LQ) optimal control problems with multidimensional states and regime switching. We focus on the corresponding stochastic Riccati equation (SRE), which mirrors that of the 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. We solve both the SRE and adjoint BSDE using the contraction mapping method, which helps represent the closed-loop optimal control and the optimal value of our problems. In particular, we extend some results of Hu et al. [7] to the multidimensional case.

Probability Uncertainty and Quantitative RiskVol. 10(1)
Shanghai Jiao Tong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 93%
Stochastic processes and financial applications
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Non-homogeneous stochastic linear-quadratic optimal control problems with multidimensional state and regime switching — Peng Luo, Yuyang Chen · Probability Uncertainty and Quantitative Risk (2025) | TGRS Research Map | TGRS