Robust Model Predictive Control via Dynamic Output Feedback

被引：11
|
作者：
Ding, Baocang [1 ]
Xie, Lihua [2 ]
机构：
[1] Chongqing Univ, Coll Automat, Chongqing 400044, Peoples R China
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
来源：
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年
关键词：
Dynamic output feedback; Model predictive control; Uncertain systems; Quadratic boundedness;
D O I：
10.1109/WCICA.2008.4593464
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 a synthesis approach to dynamic output feedback robust model predictive control for systems with polytopic uncertainty and bounded disturbance/noise. We consider the special case where the current model of the polytope is exactly known. The primary contribution is the formulation of the overall control problem into a single optimization problem solvable via LMI techniques. By specifying quadratic boundedness, the closed-loop system is guaranteed to converge to a neighborhood of the origin. A numerical example is given to illustrate the effectiveness of the controller.
引用
收藏
页码：3388 / +
页数：2
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