A Non Linear Optimal Control Problem Related to a Road De-icing Device: Analysis and Numerical Experiments

IF 1.7 2区 数学 Q2 MATHEMATICS, APPLIED Applied Mathematics and Optimization Pub Date : 2025-04-27 DOI:10.1007/s00245-025-10261-7
Frédéric Bernardin, Jérôme Lemoine, Arnaud Münch
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Abstract

In order to design a road de-icing device by heating, we consider in a two dimensional setting the optimal control of an advection–diffusion equation with a nonlinear boundary condition of the Stefan-Boltzmann type. The problem models the heating of a road during a winter period to keep positive its surface temperature above a given threshold. The heating device is performed through the circulation of a coolant in a porous layer of the road. We prove the well-posedeness of the nonlinear optimal control problem, subject to unilateral constraints on the control and the state, set up a gradient based algorithm then discuss some numerical results associated with real data obtained from experimental measurements. The study, initially developed in a one dimensional simpler setting in [1], aims to quantify the minimal energy to be provided to keep the road surface without frost or snow.

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道路除冰装置的非线性最优控制问题:分析与数值实验
为了设计一种道路加热除冰装置,在二维条件下考虑了具有非线性Stefan-Boltzmann型边界条件的平流扩散方程的最优控制问题。该问题模拟了冬季道路的加热,以保持其表面温度高于给定阈值。加热装置是通过道路多孔层中的冷却剂的循环来实现的。我们证明了在控制和状态单侧约束下非线性最优控制问题的适定性,建立了一种基于梯度的算法,并讨论了一些与实验实测数据相关的数值结果。这项研究最初是在b[1]的一个简单的一维环境中进行的,旨在量化提供的最小能量,以保持路面没有霜或雪。
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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
103
审稿时长
>12 weeks
期刊介绍: The Applied Mathematics and Optimization Journal covers a broad range of mathematical methods in particular those that bridge with optimization and have some connection with applications. Core topics include calculus of variations, partial differential equations, stochastic control, optimization of deterministic or stochastic systems in discrete or continuous time, homogenization, control theory, mean field games, dynamic games and optimal transport. Algorithmic, data analytic, machine learning and numerical methods which support the modeling and analysis of optimization problems are encouraged. Of great interest are papers which show some novel idea in either the theory or model which include some connection with potential applications in science and engineering.
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