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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2021
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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) |
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optimal harvesting control itô formula fractional brownian motion (fbm) maximum principle Biotechnology TP248.13-248.65 Mathematics QA1-939 |
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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 |
_version_ |
1718441399926390784 |