GALERKIN SPECTRAL METHOD FOR ELLIPTIC OPTIMAL CONTROL PROBLEM WITH L2-NORM CONTROL CONSTRAINT

Zhen Zhen Tao, Bing Sun*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This paper is concerned with the Galerkin spectral approximation of an optimal control problem governed by the elliptic partial differential equations (PDEs). Its objective functional depends on the control variable governed by the L2-norm constraint. The optimality conditions for both the optimal control problem and its corresponding spectral approximation problem are given, successively. Thanks to some lemmas and the auxiliary systems, a priori error estimates of the Galerkin spectral approximation problem are established in detail. Moreover, a posteriori error estimates of the spectral approximation problem are also investigated, which include not only H1-norm error for the state and co-state but also L2-norm error for the control, state and costate. Finally, three numerical examples are executed to demonstrate the errors decay exponentially fast.

Original languageEnglish
Pages (from-to)4121-4141
Number of pages21
JournalDiscrete and Continuous Dynamical Systems - Series B
Volume27
Issue number8
DOIs
Publication statusPublished - Aug 2022

Keywords

  • Galerkin spectral approximation
  • a posteriori error estimates
  • a priori error estimates
  • optimal control
  • optimality conditions

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