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Hauptverfasser: Hu, Ying, Shi, Xiaomin, Xu, Zuo Quan
Format: Preprint
Veröffentlicht: 2025
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Online-Zugang:https://arxiv.org/abs/2507.21576
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author Hu, Ying
Shi, Xiaomin
Xu, Zuo Quan
author_facet Hu, Ying
Shi, Xiaomin
Xu, Zuo Quan
contents This paper investigates a new class of homogeneous stochastic control problems with cone control constraints, extending the classical homogeneous stochastic linear-quadratic (LQ) framework to encompass nonlinear system dynamics and non-quadratic cost functionals. We demonstrate that, analogous to the LQ case, the optimal controls and value functions for these generalized problems are intimately connected to a novel class of highly nonlinear backward stochastic differential equations (BSDEs). We establish the existence and uniqueness of solutions to these BSDEs under three distinct sets of conditions, employing techniques such as truncation functions and logarithmic transformations. Furthermore, we derive explicit feedback representations for the optimal controls and value functions in terms of the solutions to these BSDEs, supported by rigorous verification arguments. Our general solvability conditions allow us to recover many known results for homogeneous LQ problems, including both standard and singular cases, as special instances of our framework.
format Preprint
id arxiv_https___arxiv_org_abs_2507_21576
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Optimal control of stochastic homogenous systems
Hu, Ying
Shi, Xiaomin
Xu, Zuo Quan
Optimization and Control
This paper investigates a new class of homogeneous stochastic control problems with cone control constraints, extending the classical homogeneous stochastic linear-quadratic (LQ) framework to encompass nonlinear system dynamics and non-quadratic cost functionals. We demonstrate that, analogous to the LQ case, the optimal controls and value functions for these generalized problems are intimately connected to a novel class of highly nonlinear backward stochastic differential equations (BSDEs). We establish the existence and uniqueness of solutions to these BSDEs under three distinct sets of conditions, employing techniques such as truncation functions and logarithmic transformations. Furthermore, we derive explicit feedback representations for the optimal controls and value functions in terms of the solutions to these BSDEs, supported by rigorous verification arguments. Our general solvability conditions allow us to recover many known results for homogeneous LQ problems, including both standard and singular cases, as special instances of our framework.
title Optimal control of stochastic homogenous systems
topic Optimization and Control
url https://arxiv.org/abs/2507.21576