Burgers' equation: Galerkin least-squares approximations and feedback control

被引:0
作者
King, BB [1 ]
Krueger, DA [1 ]
机构
[1] Virginia Tech, Interdisciplinary Ctr Appl Math, Blacksburg, VA 24061 USA
基金
美国国家科学基金会;
关键词
Burgers' equation; Galerkin least squares; feedback control; functional gains; stabilized; finite element method;
D O I
10.1016/S0895-7177(03)90107-5
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The standard Galerkin finite-element approximation of Burgers' equation is known to be numerically unstable for small values of viscosity. One way to overcome this difficulty is to use a stabilized finite-element method, such as Galerkin least squares, and this is a standard approach taken in the simulation literature. In this paper, we investigate the effect of a stabilized finite-element approximation of Burgers' equation in the context of feedback control design. The issue at hand is how the additional stabilizing terms affect the resulting controller. We show that the controller designed for the stabilized system varies little from the unstabilized controller. (C) 2003 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1075 / 1085
页数:11
相关论文
共 6 条