scholarly journals A Distributed Control Problem for a Fractional Tumor Growth Model

Mathematics ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. 792 ◽  
Author(s):  
Pierluigi Colli ◽  
Gianni Gilardi ◽  
Jürgen Sprekels

In this paper, we study the distributed optimal control of a system of three evolutionary equations involving fractional powers of three self-adjoint, monotone, unbounded linear operators having compact resolvents. The system is a generalization of a Cahn–Hilliard type phase field system modeling tumor growth that has been proposed by Hawkins–Daarud, van der Zee and Oden. The aim of the control process, which could be realized by either administering a drug or monitoring the nutrition, is to keep the tumor cell fraction under control while avoiding possible harm for the patient. In contrast to previous studies, in which the occurring unbounded operators governing the diffusional regimes were all given by the Laplacian with zero Neumann boundary conditions, the operators may in our case be different; more generally, we consider systems with fractional powers of the type that were studied in a recent work by the present authors. In our analysis, we show the Fréchet differentiability of the associated control-to-state operator, establish the existence of solutions to the associated adjoint system, and derive the first-order necessary conditions of optimality for a cost functional of tracking type.

2014 ◽  
Vol 30 (7) ◽  
pp. 726-754 ◽  
Author(s):  
Ying Chen ◽  
Steven M. Wise ◽  
Vivek B. Shenoy ◽  
John S. Lowengrub

2021 ◽  
Vol 410 ◽  
pp. 126482
Author(s):  
Kaouther Moussa ◽  
Mirko Fiacchini ◽  
Mazen Alamir

2017 ◽  
Vol 36 (3) ◽  
pp. 815-825 ◽  
Author(s):  
Matthieu Le ◽  
Herve Delingette ◽  
Jayashree Kalpathy-Cramer ◽  
Elizabeth R. Gerstner ◽  
Tracy Batchelor ◽  
...  

2012 ◽  
Vol 22 (06) ◽  
pp. 1250003 ◽  
Author(s):  
THIERRY COLIN ◽  
ANGELO IOLLO ◽  
DAMIANO LOMBARDI ◽  
OLIVIER SAUT

A tumor growth model based on a parametric system of partial differential equations is considered. The system corresponds to a phenomenological description of a multi-species population evolution. A velocity field taking into account the volume increase due to cellular division is introduced and the mechanical closure is provided by a Darcy-type law. The complexity of the biological phenomenon is taken into account through a set of parameters included in the model that need to be calibrated. To this end, a system identification method based on a low-dimensional representation of the solution space is introduced. We solve several idealized identification cases corresponding to typical situations where the information is scarce in time and in terms of observable fields. Finally, applications to actual clinical data are presented.


Author(s):  
Matthieu Lê ◽  
Hervé Delingette ◽  
Jayashree Kalpathy-Cramer ◽  
Elizabeth R. Gerstner ◽  
Tracy Batchelor ◽  
...  

2020 ◽  
Vol 26 ◽  
pp. 104
Author(s):  
Carlo Orrieri ◽  
Elisabetta Rocca ◽  
Luca Scarpa

We study a stochastic phase-field model for tumor growth dynamics coupling a stochastic Cahn-Hilliard equation for the tumor phase parameter with a stochastic reaction-diffusion equation governing the nutrient proportion. We prove strong well-posedness of the system in a general framework through monotonicity and stochastic compactness arguments. We introduce then suitable controls representing the concentration of cytotoxic drugs administered in medical treatment and we analyze a related optimal control problem. We derive existence of an optimal strategy and deduce first-order necessary optimality conditions by studying the corresponding linearized system and the backward adjoint system.


2018 ◽  
Vol 45 (2) ◽  
pp. 155-159 ◽  
Author(s):  
I. A. Ratnikova ◽  
N. N. Gavrilova ◽  
K. Bayakyshova ◽  
Z. Zh. Turlybaeva ◽  
L. A. Kosheleva ◽  
...  

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