Output feedback model predictive control for LPV systems based on quasi-min-max algorithm

被引：84

作者：

Park, Jee-Hun ^{[2
]}

Kim, Tae-Hyoung ^{[1
]}

Sugie, Toshiharu ^{[2
]}

机构：

[1] Chung Ang Univ, Sch Mech Engn, Seoul 156756, South Korea

[2] Kyoto Univ, Dept Syst Sci, Kyoto 6110011, Japan

来源：

AUTOMATICA | 2011年 / 47卷 / 09期

基金：

新加坡国家研究基金会;

关键词：

Model predictive control; Linear parameter varying systems; Linear matrix inequality; LINEAR MATRIX INEQUALITIES; MPC;

D O I：

10.1016/j.automatica.2011.06.015

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 proposes a robust output feedback model predictive control (MPC) scheme for linear parameter varying (LPV) systems based on a quasi-min-max algorithm. This approach involves an off-line design of a robust state observer for LPV systems using linear matrix inequality (LMI) and an on-line robust output feedback MPC algorithm using the estimated state. The proposed MPC method for LPV systems is applicable for a variety of systems with constraints and guarantees the robust stability of the output feedback systems. A numerical example for an LPV system subject to input constraints is given to demonstrate its effectiveness. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：2052 / 2058

页数：7

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