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

被引:2
|
作者
Tao, Zhen-Zhen [1 ]
Sun, Bing [1 ,2 ]
机构
[1] Beijing Inst Technol, Sch Math & Stat, Beijing 100081, Peoples R China
[2] Beijing Inst Technol, Beijing Key Lab MCAACI, Beijing 100081, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Galerkin spectral approximation; optimal control; optimality conditions; a posteriori error estimates; a priori error estimates; INTEGRAL STATE; APPROXIMATION;
D O I
10.3934/dcdsb.2021220
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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 L-2-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 H-1-norm error for the state and co-state but also L-2-norm error for the control, state and costate. Finally, three numerical examples are executed to demonstrate the errors decay exponentially fast.
引用
收藏
页码:4121 / 4141
页数:21
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