Maximum Principle for Control System driven by Mixed Fractional Brownian Motion

Fuente: arXiv
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Main Authors: Li, Yuhang, Han, Yuecai
Format: Preprint
Published: 2023
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author Li, Yuhang
Han, Yuecai
author_facet Li, Yuhang
Han, Yuecai
contents In this paper, we investigate the optimal control problem for systems driven by mixed fractional Brownian motion (including a fractional Brownian motion with Hurst parameter $H>1/2$ and the standard Brownian motion). By using Malliavin calculus and introducing a disturbance control region, we obtain a modified maximum principle. Through martingale representation theorem, we obtain the adjoint backward stochastic differential equation in a natural way. Furthermore, corresponding to [1], a significant result is that the necessary condition is simplified by only containing one equality. As an application, the linear quadratic case is investigated to illustrate the main results.
format Preprint
id arxiv_https___arxiv_org_abs_2312_11893
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Maximum Principle for Control System driven by Mixed Fractional Brownian Motion
Li, Yuhang
Han, Yuecai
Optimization and Control
Probability
In this paper, we investigate the optimal control problem for systems driven by mixed fractional Brownian motion (including a fractional Brownian motion with Hurst parameter $H>1/2$ and the standard Brownian motion). By using Malliavin calculus and introducing a disturbance control region, we obtain a modified maximum principle. Through martingale representation theorem, we obtain the adjoint backward stochastic differential equation in a natural way. Furthermore, corresponding to [1], a significant result is that the necessary condition is simplified by only containing one equality. As an application, the linear quadratic case is investigated to illustrate the main results.
title Maximum Principle for Control System driven by Mixed Fractional Brownian Motion
topic Optimization and Control
Probability
url https://arxiv.org/abs/2312.11893