Constrained min-max predictive control:: Modifications of the objective function leading to polynomial complexity

被引：44

作者：

Alamo, T ^{[1
]}

de la Peña, DM ^{[1
]}

Limon, D ^{[1
]}

Camacho, EF ^{[1
]}

机构：

[1] Univ Seville, Dept Ingn Sistemas & Automat, Seville 41092, Spain

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2005年 / 50卷 / 05期

关键词：

min-max; optimization algorithms; predictive control of linear systems; robust control;

D O I：

10.1109/TAC.2005.847039

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this note, an efficient way of implementing a constrained min-max predictive controller is presented. The new approach modifies the objective function in such a way that the resulting min-max problem can be solved in polynomial time. Different modifications are proposed. The main contribution of the note is to provide a robust constrained min-max predictive controller that can be implemented in real time. The new controller stabilizes the uncertain system.

引用

页码：710 / 714

页数：5

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