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JOURNALS // Trudy Matematicheskogo Instituta imeni V.A. Steklova // Archive

Trudy Mat. Inst. Steklova, 2019 Volume 304, Pages 273–284 (Mi tm3972)

This article is cited in 1 paper

On Applications of the Hamilton–Jacobi Equations and Optimal Control Theory to Problems of Chemotherapy of Malignant Tumors

N. N. Subbotinaab, N. G. Novoselovaab

a N. N. Krasovskii Institute of Mathematics and Mechanics, Ural Branch of the Russian Academy of Sciences, ul. S. Kovalevskoi 16, Yekaterinburg, 620990 Russia
b Ural Federal University named after the First President of Russia B. N. Yeltsin, ul. Mira 19, Yekaterinburg, 620002 Russia

Abstract: A chemotherapy model for a malignant tumor is considered, and the optimal control (therapy) problem of minimizing the number of tumor cells at a fixed final instant is investigated. In this problem, the value function is calculated, which assigns the value (the optimal achievable result) to each initial state. An optimal feedback (optimal synthesis) is constructed, using which for any initial state ensures the achievement of the corresponding optimal result. The proposed constructions are based on the method of Cauchy characteristics, the Pontryagin maximum principle, and the theory of generalized (minimax/viscosity) solutions of the Hamilton–Jacobi–Bellman equation describing the value function.

Keywords: optimal control problem, value function, Hamilton–Jacobi–Bellman equation, minimax/viscosity solution, optimal synthesis.

UDC: 517.977

Received: October 10, 2018
Revised: October 25, 2018
Accepted: December 19, 2018

DOI: 10.4213/tm3972


 English version:
Proceedings of the Steklov Institute of Mathematics, 2019, 304, 257–267

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