Min-max feedback model predictive control for constrained linear systems

被引：639
|
作者：
Scokaert, POM
Mayne, DQ
机构：
[1] Univ Wisconsin, Dept Chem Engn, Madison, WI 53706 USA
[2] Univ London Imperial Coll Sci Technol & Med, Dept Elect & Elect Engn, London SW7 2BT, England
来源：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 1998年 / 43卷 / 08期
关键词：
feedback; min-max optimization; model predictive control;
D O I：
10.1109/9.704989
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Min-max feedback formulations of model predictive control are discussed, both in the fixed and variable horizon contexts. The control schemes the authors discuss introduce, in the control optimization, the notion that feedback is present in the receding-horizon implementation of thf control. This leads to improved performance, compared to standard model predictive control, and resolves the feasibility difficulties that arise with the min-max techniques that are documented in the literature. The stabilizing properties of the methods are discussed as well as some practical implementation details.
引用
收藏
页码：1136 / 1142
页数：7
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