z-logo
open-access-imgOpen Access
Optimal control applied to immunotherapy
Author(s) -
K. Renee Fister,
Jon Ernstberger,
Thalya Burden
Publication year - 2003
Publication title -
discrete and continuous dynamical systems - b
Language(s) - English
Resource type - Journals
eISSN - 1553-524X
pISSN - 1531-3492
DOI - 10.3934/dcdsb.2004.4.135
Subject(s) - optimal control , effector , computer science , immune system , control (management) , immunotherapy , control theory (sociology) , mathematical optimization , mathematics , biology , microbiology and biotechnology , immunology , artificial intelligence
We investigate a mathematical model for the dynamics between tumor cells, immune-effector cells, and the cytokine interleukin-2 (IL-2). In order to better determine under what circumstances the tumor can be eliminated, we implement optimal control theory. We design the control functional to maximize the effector cells and interleukin-2 concentration and to minimize the tumor cells. Next, we show that an optimal control exists for this problem. After which, we characterize our unique optimal control in terms of the solutions to the optimality system, which is the state system coupled with the adjoint system. Finally, we analyze the optimal control and optimality system using numerical techniques.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom