Optimal control of stochastic system with Fractional Brownian Motion

In this paper, we introduce a class of stochastic harvesting population system with Fractional Brownian Motion (FBM), which is still unclear when the stochastic noise has the character of memorability. Stochastic optimal control problems with FBM can not be studied using classical methods, because F...

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Auteurs principaux: Chaofeng Zhao, Zhibo Zhai, Qinghui Du
Format: article
Langue:EN
Publié: AIMS Press 2021
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Accès en ligne:https://doaj.org/article/8c18524e61974e1399f5047c7e739c74
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spelling oai:doaj.org-article:8c18524e61974e1399f5047c7e739c742021-11-09T02:32:07ZOptimal control of stochastic system with Fractional Brownian Motion10.3934/mbe.20212841551-0018https://doaj.org/article/8c18524e61974e1399f5047c7e739c742021-06-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021284?viewType=HTMLhttps://doaj.org/toc/1551-0018In this paper, we introduce a class of stochastic harvesting population system with Fractional Brownian Motion (FBM), which is still unclear when the stochastic noise has the character of memorability. Stochastic optimal control problems with FBM can not be studied using classical methods, because FBM is neither a Markov pocess nor a semi-martingale. When the external environment impact on the system of FBM, the necessary and sufficient conditions for the optimization are offered through the stochastic maximum principle, Hamilton function and Itô formula in our work. To illustrate our study, we provide an example to demonstrate the obtained theoretical results, which is the expansion of certainty population system.Chaofeng ZhaoZhibo Zhai Qinghui Du AIMS Pressarticleoptimal harvesting controlitô formulafractional brownian motion (fbm)maximum principleBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 5625-5634 (2021)
institution DOAJ
collection DOAJ
language EN
topic optimal harvesting control
itô formula
fractional brownian motion (fbm)
maximum principle
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
spellingShingle optimal harvesting control
itô formula
fractional brownian motion (fbm)
maximum principle
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
Chaofeng Zhao
Zhibo Zhai
Qinghui Du
Optimal control of stochastic system with Fractional Brownian Motion
description In this paper, we introduce a class of stochastic harvesting population system with Fractional Brownian Motion (FBM), which is still unclear when the stochastic noise has the character of memorability. Stochastic optimal control problems with FBM can not be studied using classical methods, because FBM is neither a Markov pocess nor a semi-martingale. When the external environment impact on the system of FBM, the necessary and sufficient conditions for the optimization are offered through the stochastic maximum principle, Hamilton function and Itô formula in our work. To illustrate our study, we provide an example to demonstrate the obtained theoretical results, which is the expansion of certainty population system.
format article
author Chaofeng Zhao
Zhibo Zhai
Qinghui Du
author_facet Chaofeng Zhao
Zhibo Zhai
Qinghui Du
author_sort Chaofeng Zhao
title Optimal control of stochastic system with Fractional Brownian Motion
title_short Optimal control of stochastic system with Fractional Brownian Motion
title_full Optimal control of stochastic system with Fractional Brownian Motion
title_fullStr Optimal control of stochastic system with Fractional Brownian Motion
title_full_unstemmed Optimal control of stochastic system with Fractional Brownian Motion
title_sort optimal control of stochastic system with fractional brownian motion
publisher AIMS Press
publishDate 2021
url https://doaj.org/article/8c18524e61974e1399f5047c7e739c74
work_keys_str_mv AT chaofengzhao optimalcontrolofstochasticsystemwithfractionalbrownianmotion
AT zhibozhai optimalcontrolofstochasticsystemwithfractionalbrownianmotion
AT qinghuidu optimalcontrolofstochasticsystemwithfractionalbrownianmotion
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