Heterogeneous Multiscale Method for Optimal Control Problem Governed by Elliptic Equations with Highly Oscillatory Coefficients

Authors

  • Liang Ge Institute of Thermal Science & Technology, Shandong University, Jinan 250061, P.R. China
  • Ningning Yan LSEC, Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
  • Lianhai Wang Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center, Jinan 250014, China
  • Wenbin Liu KBS, University of Kent, Canterbury, CT2 7NF,UK
  • Danping Yang Department of Mathematics, East China Normal University, Shanghai 200241, China

DOI:

https://doi.org/10.4208/jcm.1703-m2015-0433

Keywords:

Constrained convex optimal control, Heterogeneous multiscale finite element, A priori error estimate, Elliptic equations with highly oscillatory coefficients.

Abstract

In this paper, we investigate heterogeneous multiscale method (HMM) for the optimal control problem with distributed control constraints governed by elliptic equations with highly oscillatory coefficients. The state variable and co-state variable are approximated by the multiscale discretization scheme that relies on coupled macro and micro finite elements, whereas the control variable is discretized by the piecewise constant. By applying the well-known Lions' Lemma to the discretized optimal control problem, we obtain the necessary and sufficient optimality conditions. A priori error estimates in both $L^2$ and $H^1$ norms are derived for the state, co-state and the control variable with uniform bound constants. Finally, numerical examples are presented to illustrate our theoretical results.

Published

2018-09-17

Issue

Section

Articles