Dynamic Output Feedback Robust MPC with Relaxed Constraint Handling for LPV System with Bounded Disturbance.

被引：0

作者：

Ding, Baocang ^{[1
]}

Xi, Yugeng ^{[2
]}

Ping, Xubin ^{[3
]}

Zou, Tao ^{[4
]}

机构：

[1] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Dept Automat, Xian 710049, Peoples R China

[2] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China

[3] Xidian Univ, Sch Electromech Engn, Dept Automat, Xian 710071, Peoples R China

[4] Chinese Acad Sci, Shenyang Inst Automat, Shenyang 110016, Peoples R China

来源：

2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2014年

关键词：

Output feedback; Model predictive control; Uncertain systems; Bounded disturbance; MODEL-PREDICTIVE CONTROL; LINEAR-SYSTEMS;

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：

For the constrained linear parameter varying (LPV) system with bounded disturbance, a dynamic output feedback model predictive control (MPC), with a series of scalars for relaxing the disturbance-related constraints handling, is proposed. An optimization procedure, for off-line determining the relaxation scalars, is proposed based on the norm-bounding technique. The augmented state of the closed-loop system is guaranteed to converge to the neighborhood the equilibrium point. A numerical example is given to show the effectiveness of the results.

引用

页码：2624 / 2629

页数：6

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