OPTIMAL SYNTHESES FOR STATE CONSTRAINED PROBLEMS WITH APPLICATION TO OPTIMIZATION OF CANCER THERAPIES

被引：4

作者：

Piccoli, Benedetto ^{[1
,2
]}

机构：

[1] Rutgers State Univ, Dept Math Sci, Camden, NJ 08102 USA

[2] Rutgers State Univ, Ctr Computat & Integrat Biol, Camden, NJ 08102 USA

来源：

MATHEMATICAL CONTROL AND RELATED FIELDS | 2012年 / 2卷 / 04期

关键词：

Optimal control; state constraint; sufficient condition for optimality; cancer therapies; MIXED IMMUNOTHERAPY; CHEMOTHERAPY; TUMORS; MODEL;

D O I：

10.3934/mcrf.2012.2.383

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The use of combined therapies to treat cancer is common nowadays and some papers already addressed the relative optimization problems. In particular, it is natural to have state constraints, which usually correspond to bounds on feasible amounts of drugs to be used. The application of Pontryagin Maximum Principle is particularly difficult in such case. Therefore, we resort to sufficient conditions for optimality to achieve results more easily applicable to systems biology models. The approach is developed both for candidate value functions and optimal syntheses. Then it is shown at work on some specific problems in combined cancer therapy.

引用

页码：383 / 398

页数：16

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