Maximum principle for discrete-time control systems driven by fractional noises and related backward stochastic difference equations

Fuente: arXiv
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Main Authors: Han, Yuecai, Li, Yuhang
Format: Preprint
Published: 2024
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author Han, Yuecai
Li, Yuhang
author_facet Han, Yuecai
Li, Yuhang
contents In this paper, the optimal control for discrete-time systems driven by fractional noises is studied. A stochastic maximum principle is obtained by introducing a backward stochastic difference equation contains both fractional noises and the constructed white noises. The solution of the backward stochastic difference equations is also investigated. As an application, the linear quadratic case is considered to illustrate the main results.
format Preprint
id arxiv_https___arxiv_org_abs_2412_16821
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Maximum principle for discrete-time control systems driven by fractional noises and related backward stochastic difference equations
Han, Yuecai
Li, Yuhang
Optimization and Control
In this paper, the optimal control for discrete-time systems driven by fractional noises is studied. A stochastic maximum principle is obtained by introducing a backward stochastic difference equation contains both fractional noises and the constructed white noises. The solution of the backward stochastic difference equations is also investigated. As an application, the linear quadratic case is considered to illustrate the main results.
title Maximum principle for discrete-time control systems driven by fractional noises and related backward stochastic difference equations
topic Optimization and Control
url https://arxiv.org/abs/2412.16821