Optimal control of a nonsmooth PDE arising in the modeling of shear–thickening fluids

IF 1 4区 数学 Q1 MATHEMATICS
J. C. Reyes, Paola Quiloango
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引用次数: 0

Abstract

This paper focuses on the analysis of an optimal control problem governed by a nonsmooth quasilinear partial differential equation that models a stationary incompressible shear-thickening fluid. We start by studying the directional differentiability of the non-smooth term within the state equation as a prior step to demonstrate the directional differentiability of the solution operator. Thereafter, we establish a primal first order necessary optimality condition (Bouligand (B) stationarity), which is derived from the directional differentiability of the solution operator. By using a local regularization of the nonsmooth term and carrying out an asymptotic analysis thereafter, we rigourously derive a weak stationarity system for local minima. By combining the B- and weak stationarity conditions, and using the regularity of the Lagrange multiplier, we are able to obtain a strong stationarity system that includes an inequality for the scalar product between the symmetrized gradient of the state and the Lagrange multiplier.
剪切增稠流体建模中出现的非光滑偏微分方程的最优控制
本文重点分析了一类非光滑拟线性偏微分方程控制的最优控制问题,该方程模拟了一类稳态不可压缩剪切增稠流体。我们首先研究状态方程中非光滑项的方向可微性,作为证明解算子的方向可微性的第一步。然后,我们从解算子的方向可微性出发,建立了一个原始一阶必要最优性条件(Bouligand (B)平稳性)。通过对非光滑项进行局部正则化,并在此基础上进行渐近分析,我们严格地导出了一个具有局部极小值的弱平稳系统。结合B平稳条件和弱平稳条件,利用拉格朗日乘子的正则性,我们可以得到一个强平稳系统,该系统包含状态的对称梯度与拉格朗日乘子之间的标量积的不等式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Mathematical Control and Related Fields
Mathematical Control and Related Fields MATHEMATICS, APPLIED-MATHEMATICS
CiteScore
2.50
自引率
8.30%
发文量
67
期刊介绍: MCRF aims to publish original research as well as expository papers on mathematical control theory and related fields. The goal is to provide a complete and reliable source of mathematical methods and results in this field. The journal will also accept papers from some related fields such as differential equations, functional analysis, probability theory and stochastic analysis, inverse problems, optimization, numerical computation, mathematical finance, information theory, game theory, system theory, etc., provided that they have some intrinsic connections with control theory.
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