Feedback min-max model predictive control based on a quadratic cost function

被引：0
|
作者：
de la Pena, D. Munoz [1 ]
Alamo, T. [1 ]
Bemporad, A. [2 ]
Camacho, E. F. [1 ]
机构：
[1] Univ Seville, Dept Ingn Sist & Automat, Seville, Spain
[2] Univ Siena, Dept Ingn Informaz, I-53100 Siena, Italy
来源：
2006 AMERICAN CONTROL CONFERENCE, VOLS 1-12 | 2006年 / 1-12卷
关键词：
predictive control for linear systems; robust control; optimization algorithms;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Feedback min-max model predictive control based on a quadratic cost function is addressed in this paper. The main contribution is an algorithm for solving the min-max quadratic MIPC problem with an arbitrary degree of approximation. The paper also introduces the "recourse horizon", which allows one to obtain a trade-off between computational complexity and performance of the control law. The results are illustrated by means of a simulation of a quadruple-tank process.
引用
收藏
页码：1575 / +
页数：2
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