Constrained robust model predictive control for time-delay systems with polytopic description

被引:60
作者
Ding, B. [1 ]
Huang, B.
机构
[1] Univ Alberta, Dept Chem & Mat Engn, Edmonton, AB T6G 2M7, Canada
[2] Hebei Univ Technol, Inst Automat, Tientsin, Peoples R China
关键词
D O I
10.1080/00207170601021738
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper considers an infinite-horizon min-max model predictive control (MPC) problem for time-delay discrete systems with a polytopic uncertainty description, which has rarely been addressed in the literature. Several new solutions to this problem are proposed which are inter-complementary. If there is an input delay, then the single state feedback solution requires all the system matrices to be stable. This deficiency can be removed by adding free control moves before a modified state feedback law. If there is no input delay, then a computationally efficient off-line state feedback solution can be applied. In order to obtain desirable region of attraction while at the same time preserve reasonably low on-line computational effort, one can choose the standard solution. Simulation results are given to illustrate these new solutions.
引用
收藏
页码:509 / 522
页数:14
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