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布林克曼最优控制问题的间断有限体积离散化的误差界

Error Bounds for Discontinuous Finite Volume Discretisations of Brinkman Optimal Control Problems.

作者信息

Kumar S, Ruiz-Baier R, Sandilya R

机构信息

Department of Mathematics, Indian Institute of Space Science and Technology, Trivandrum, 695547 India.

2Mathematical Institute, Oxford University, A. Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG UK.

出版信息

J Sci Comput. 2019;78(1):64-93. doi: 10.1007/s10915-018-0749-z. Epub 2018 Jun 9.

Abstract

We introduce a discontinuous finite volume method for the approximation of distributed optimal control problems governed by the Brinkman equations, where a force field is sought such that it produces a desired velocity profile. The discretisation of state and co-state variables follows a lowest-order scheme, whereas three different approaches are used for the control representation: a variational discretisation, and approximation through piecewise constant and piecewise linear elements. We employ the approach, resulting in a non-symmetric discrete formulation. A priori error estimates for velocity, pressure, and control in natural norms are derived, and a set of numerical examples is presented to illustrate the performance of the method and to confirm the predicted accuracy of the generated approximations under various scenarios.

摘要

我们引入一种间断有限体积法,用于逼近由布林克曼方程控制的分布式最优控制问题,其中要寻找一个力场,使其产生期望的速度分布。状态变量和共态变量的离散化采用最低阶格式,而控制表示则使用三种不同方法:变分离散化,以及通过分段常数元和分段线性元进行逼近。我们采用该方法,得到一个非对称离散格式。推导了速度、压力和控制在自然范数下的先验误差估计,并给出了一组数值例子,以说明该方法的性能,并在各种情况下验证所生成近似解的预测精度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66fa/6383746/ac668d9b986c/10915_2018_749_Fig1_HTML.jpg

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