Immunotherapy: An Optimal Control Theory Approach

We investigate mathematical models for the dynamics between tumor cells, immune-effector cells, and cytokine interleukin-2 (IL-2). To better determine under what circumstances the tumor can be eliminated, we implement optimal control theory. We design two control functionals, the first functional ha...

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Main Authors: K. Renee Fister, Jennifer Hughes Donnelly
Format: Article
Language:English
Published: AIMS Press 2005-07-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2005.2.499
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author K. Renee Fister
Jennifer Hughes Donnelly
author_facet K. Renee Fister
Jennifer Hughes Donnelly
author_sort K. Renee Fister
collection DOAJ
description We investigate mathematical models for the dynamics between tumor cells, immune-effector cells, and cytokine interleukin-2 (IL-2). To better determine under what circumstances the tumor can be eliminated, we implement optimal control theory. We design two control functionals, the first functional having one control and the second having two controls, to maximize the effector cells and interleukin-2 concentration and to minimize the tumor cells. Next, we show that bang-bang optimal controls exist for each problem. Then, we characterize our optimal controls in terms of the solutions to the optimality system, which is the state system coupled with the adjoint system. Finally, we analyze the various optimal controls and optimality systems using numerical techniques.
format Article
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institution Kabale University
issn 1551-0018
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publisher AIMS Press
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series Mathematical Biosciences and Engineering
spelling doaj-art-ebb1cb10dfc3490c9c7a241d4854db322025-01-24T01:49:00ZengAIMS PressMathematical Biosciences and Engineering1551-00182005-07-012349951010.3934/mbe.2005.2.499Immunotherapy: An Optimal Control Theory ApproachK. Renee Fister0Jennifer Hughes Donnelly1Department of Mathematics and Statistics, Murray State University, 6C Faculty Hall, Murray, KY 42071Department of Mathematics and Statistics, Murray State University, 6C Faculty Hall, Murray, KY 42071We investigate mathematical models for the dynamics between tumor cells, immune-effector cells, and cytokine interleukin-2 (IL-2). To better determine under what circumstances the tumor can be eliminated, we implement optimal control theory. We design two control functionals, the first functional having one control and the second having two controls, to maximize the effector cells and interleukin-2 concentration and to minimize the tumor cells. Next, we show that bang-bang optimal controls exist for each problem. Then, we characterize our optimal controls in terms of the solutions to the optimality system, which is the state system coupled with the adjoint system. Finally, we analyze the various optimal controls and optimality systems using numerical techniques.https://www.aimspress.com/article/doi/10.3934/mbe.2005.2.499optimal controlimmunotherapyordinary differential system.cancer
spellingShingle K. Renee Fister
Jennifer Hughes Donnelly
Immunotherapy: An Optimal Control Theory Approach
Mathematical Biosciences and Engineering
optimal control
immunotherapy
ordinary differential system.
cancer
title Immunotherapy: An Optimal Control Theory Approach
title_full Immunotherapy: An Optimal Control Theory Approach
title_fullStr Immunotherapy: An Optimal Control Theory Approach
title_full_unstemmed Immunotherapy: An Optimal Control Theory Approach
title_short Immunotherapy: An Optimal Control Theory Approach
title_sort immunotherapy an optimal control theory approach
topic optimal control
immunotherapy
ordinary differential system.
cancer
url https://www.aimspress.com/article/doi/10.3934/mbe.2005.2.499
work_keys_str_mv AT kreneefister immunotherapyanoptimalcontroltheoryapproach
AT jenniferhughesdonnelly immunotherapyanoptimalcontroltheoryapproach