2020
DOI: 10.1016/j.cam.2020.112736
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Optimal control of coefficients in parabolic free boundary problems modeling laser ablation

Abstract: Inverse Stefan problem arising in modeling of laser ablation of biomedical tissues is analyzed, where information on the coefficients, heat flux on the fixed boundary, and density of heat sources are missing and must be found along with the temperature and free boundary. Optimal control framework is employed, where the missing data and the free boundary are components of the control vector, and optimality criteria are based on the final moment measurement of the temperature and position of the free boundary. D… Show more

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Cited by 8 publications
(4 citation statements)
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References 31 publications
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“…Free boundary problems for parabolic partial differential equations have significant applications in various fields of engineering, physics, chemistry, Abdulla et al (2020), Broadbridge et al (1993), Chen and Feldman (2015), Huntul and Lesnic (2019a), Hussein et al (2016), Johansson et al (2011) to mention only a few. In particular, the Stefan problem is a moving free boundary problem that concerns the distribution of heat in a phase-change transforming medium.…”
Section: Introductionmentioning
confidence: 99%
“…Free boundary problems for parabolic partial differential equations have significant applications in various fields of engineering, physics, chemistry, Abdulla et al (2020), Broadbridge et al (1993), Chen and Feldman (2015), Huntul and Lesnic (2019a), Hussein et al (2016), Johansson et al (2011) to mention only a few. In particular, the Stefan problem is a moving free boundary problem that concerns the distribution of heat in a phase-change transforming medium.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, this optimal control problem will be referred to as Problem I. Motivation for the Problem I arises in many applications, such as a modeling and control of biomedical engineering problem about the laser ablation of biomedical tissues [9,6], preventing aerodynamic stall in aircrafts due to in-flight ice accretion [46], etc. The goal is to find optimal choice of the density of the sources which minimizes the mismatch of the temperature distribution at the final moment with the desired temperature profile.…”
Section: Introduction 1optimal Control Problemmentioning
confidence: 99%
“…The mathematical trick allowed to handle situations with erroneous information on the phase transition temperature, and opened a way to develop numerical methods with reduced computational cost due to the fact that the state vector is a solution of the PDE problem in a fixed region rather than free boundary problem. Frechet differentiability and optimality condition in the new optimal control framework was proved in [3,4], and iterative gradient method for the numerical solution was implemented in [5,6]. The approach introduced in [1, 2] is specifically designed for one phase Stefan-type free boundary problems, and is not applicable to multiphase free boundary problems.…”
Section: Introduction 1optimal Control Problemmentioning
confidence: 99%
“…In [3,4], Frechet differentiability in Sobolev-Besov spaces was proved and the formula for the Frechet gradient and optimality condition are derived. In [6,8] gradient method was implemented in Hilbert-Besov spaces framework for the numerical solution of the ISP.…”
mentioning
confidence: 99%