Off-line improvement of multivariable model predictive control robustness

被引：0
|
作者：
Stoica, Cristina [1 ]
Rodriguez-Ayerbe, Pedro [1 ]
Dumur, Didier [1 ]
机构：
[1] Dept Automat Control, F-91192 Gif Sur Yvette, France
来源：
PROCEEDINGS OF THE 46TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14 | 2007年
关键词：
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：
This paper presents a unified off-line methodology to robustify an initial multivariable Model Predictive stabilizing controller through the convex optimization of a multivariable Youla parameter. The main innovative purpose is to guarantee robust stability under model unstructured uncertainties and nominal performance specifications for the disturbances rejection. This robustification technique is applied to the control of a stirred tank reactor to reduce the influence of unstructured uncertainties on the system, while respecting time-domain templates for disturbances rejection.
引用
收藏
页码：3568 / 3573
页数：6
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