Synthesis Approaches of Dynamic Output Feedback Robust MPC for LPV System with Unmeasurable Polytopic Model Parametric Uncertainty-Part II. Polytopic Disturbance

被引:0
|
作者
Ding, Baocang [1 ]
Xi, Yugeng [2 ,3 ]
Pan, Hongguang [1 ]
机构
[1] Xi An Jiao Tong Univ, Dept Automat, Sch Elect & Informat Engn, Xian 710049, Peoples R China
[2] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
[3] Minist Educ China, Key Lab Syst Control & Informat Proc, Shanghai 200240, Peoples R China
关键词
Output feedback; Model predictive control; Synthesis approach; Uncertain systems; QUADRATIC BOUNDEDNESS; PREDICTIVE CONTROL;
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 a linear parameter varying (LPV) system including unmeasurable polytopic model parametric uncertainty and polytopic disturbance, the output feedback model predictive control (MPC) is considered. A series of scalars, for relaxing the disturbance-related constraint handling, are integrated into the solution of dynamic output feedback control. The approach stabilizes the system and improves the previous results. A numerical example is given to show the effectiveness of the proposed approach.
引用
收藏
页码:95 / 100
页数:6
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