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首页> 外文期刊>ESAIM. Mathematical modelling and numerical analysis >OPTIMAL CONTROL OF THE FULL TIME-DEPENDENT MAXWELL EQUATIONS
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OPTIMAL CONTROL OF THE FULL TIME-DEPENDENT MAXWELL EQUATIONS

机译:全时依赖麦克斯韦方程组的最优控制

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This paper analyzes the optimal control of the full time-dependent Maxwell equations. Our goal is to find an optimal current density and its time-dependent amplitude which steer the electric and magnetic fields to the desired ones. The main difficulty of the optimal control problem arises from the complexity of the Maxwell equations, featuring a first-order hyperbolic structure. We present a rigorous mathematical analysis for the optimal control problem. Here, the semigroup theory and the Helmholtz decomposition theory are the key tools in the analysis. Our theoretical findings include existence, strong regularity, and KKT theory. The corresponding optimality system consists of forward-backward Maxwell equations for the optimal electromagnetic and adjoint fields, magnetostatic saddle point equations for the optimal current density, and a projection formula for the optimal time-dependent amplitude. A semismooth Newton algorithm in a function space is established for solving the nonlinear and nonsmooth optimality system. The paper is concluded by numerical results, where mixed finite elements and Crank-Nicholson schema are used.
机译:本文分析了与时间相关的麦克斯韦方程组的最优控制。我们的目标是找到最佳的电流密度及其随时间变化的幅度,从而将电场和磁场引导至所需的磁场强度。最优控制问题的主要难点在于具有一阶双曲结构的麦克斯韦方程组的复杂性。我们针对最优控制问题提出了严格的数学分析。在此,半群理论和亥姆霍兹分解理论是分析的关键工具。我们的理论发现包括存在性,强规律性和KKT理论。相应的最佳系统由用于最佳电磁场和伴随场的向前和向后麦克斯韦方程,用于最佳电流密度的静磁鞍点方程以及用于最佳随时间变化的振幅的投影公式组成。建立了函数空间中的半光滑牛顿算法,用于求解非线性和非光滑最优系统。本文通过数值结果得出结论,其中使用了混合有限元和Crank-Nicholson模式。

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