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
收藏
页码：2624 / 2629
页数：6
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