Vanishing parameter for an optimal control problem modeling tumor growth
arXiv:1903.04930 · doi:10.3233/ASY-191546
Abstract
A distributed optimal control problem for a phase field system which physical context is that of tumor growth is discussed. The system we are going to take into account consists of a Cahn-Hilliard equation for the phase variable (relative concentration of the tumor), coupled with a reaction-diffusion equation for the nutrient. The cost functional is of standard tracking-type and the control variable models the intensity with which it is possible to dispense a medication. The model we deal with presents two small and positive parameters which are introduced in previous contributions as relaxation terms. Here, starting from the already investigated optimal control problem for the relaxed model, we aim at confirming the existence of optimal control and characterizing the first-order optimality condition, via asymptotic schemes, when one of the two occurring parameters goes to zero.
References in corpus (10)
- A multiphase Cahn-Hilliard-Darcy model for tumour growth with necrosis
- Long-time Dynamics and Optimal Control of a Diffuse Interface Model for Tumor Growth
- Optimal Distributed Control of a Cahn-Hilliard-Darcy System with Mass Sources
- Optimal control theory and advanced optimality conditions for a diffuse interface model of tumor growth
- Optimal distributed control of an extended model of tumor growth with logarithmic potential
- Optimal medication for tumors modeled by a Cahn-Hilliard-Brinkman equation
- Optimality conditions for an extended tumor growth model with double obstacle potential via deep quench approach
- Optimal treatment for a phase field system of Cahn-Hilliard type modeling tumor growth by asymptotic scheme
- Optimal velocity control of a convective Cahn-Hilliard system with double obstacles and dynamic boundary conditions: a `deep quench' approach
- Asymptotic analysis for Cahn--Hilliard type phase field systems related to tumor growth in general domains