An optimal control problem without control costs

A two-dimensional diffusion process is controlled until it enters a given subset of $ \mathbb{R}^2 $. The aim is to find the control that minimizes the expected value of a cost function in which there are no control costs. The optimal control can be expressed in terms of the value function, which gi...

Full description

Bibliographic Details
Main Author: Mario Lefebvre
Format: Article
Language:English
Published: AIMS Press 2023-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023239?viewType=HTML
_version_ 1811170584485167104
author Mario Lefebvre
author_facet Mario Lefebvre
author_sort Mario Lefebvre
collection DOAJ
description A two-dimensional diffusion process is controlled until it enters a given subset of $ \mathbb{R}^2 $. The aim is to find the control that minimizes the expected value of a cost function in which there are no control costs. The optimal control can be expressed in terms of the value function, which gives the smallest value that the expected cost can take. To obtain the value function, one can make use of dynamic programming to find the differential equation it satisfies. This differential equation is a non-linear second-order partial differential equation. We find explicit solutions to this non-linear equation, subject to the appropriate boundary conditions, in important particular cases. The method of similarity solutions is used.
first_indexed 2024-04-10T16:59:03Z
format Article
id doaj.art-e111729d87d0498ca02dbdf575c6c1e3
institution Directory Open Access Journal
issn 1551-0018
language English
last_indexed 2024-04-10T16:59:03Z
publishDate 2023-01-01
publisher AIMS Press
record_format Article
series Mathematical Biosciences and Engineering
spelling doaj.art-e111729d87d0498ca02dbdf575c6c1e32023-02-07T01:19:33ZengAIMS PressMathematical Biosciences and Engineering1551-00182023-01-012035159516810.3934/mbe.2023239An optimal control problem without control costsMario Lefebvre 0Department of Mathematics and Industrial Engineering, Polytechnique Montréal, C.P. 6079, Succursale Centre-ville, Montréal, H3C 3A7, CanadaA two-dimensional diffusion process is controlled until it enters a given subset of $ \mathbb{R}^2 $. The aim is to find the control that minimizes the expected value of a cost function in which there are no control costs. The optimal control can be expressed in terms of the value function, which gives the smallest value that the expected cost can take. To obtain the value function, one can make use of dynamic programming to find the differential equation it satisfies. This differential equation is a non-linear second-order partial differential equation. We find explicit solutions to this non-linear equation, subject to the appropriate boundary conditions, in important particular cases. The method of similarity solutions is used.https://www.aimspress.com/article/doi/10.3934/mbe.2023239?viewType=HTMLstochastic optimal controldiffusion processesfirst-passage timedynamic programmingpartial differential equation
spellingShingle Mario Lefebvre
An optimal control problem without control costs
Mathematical Biosciences and Engineering
stochastic optimal control
diffusion processes
first-passage time
dynamic programming
partial differential equation
title An optimal control problem without control costs
title_full An optimal control problem without control costs
title_fullStr An optimal control problem without control costs
title_full_unstemmed An optimal control problem without control costs
title_short An optimal control problem without control costs
title_sort optimal control problem without control costs
topic stochastic optimal control
diffusion processes
first-passage time
dynamic programming
partial differential equation
url https://www.aimspress.com/article/doi/10.3934/mbe.2023239?viewType=HTML
work_keys_str_mv AT mariolefebvre anoptimalcontrolproblemwithoutcontrolcosts
AT mariolefebvre optimalcontrolproblemwithoutcontrolcosts