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; LINEAR-SYSTEMS;

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

页码：3388 / +

页数：2

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