Output Feedback Robust MPC for Time-varying System with Norm-Bounded Model Parametric Uncertainty and Disturbance

被引：0

作者：

Yang, Jiandong ^{[1
]}

Ding, Baocang ^{[1
]}

Pan, Hongguang ^{[2
]}

机构：

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

[2] Xian Univ Sci & Technol, Sch Elect & Control Engn, Xian 710054, Peoples R China

来源：

PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016 | 2016年

基金：

中国国家自然科学基金;

关键词：

Output feedback; Model predictive control; The ellipsoidal estimation error set refreshment technique; Uncertain systems; PREDICTIVE CONTROL; HORIZON;

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：

In this paper, for a discrete-time linear system with model parametric uncertainty and disturbance which are norm-bounded, an output feedback model predictive control (MPC) is considered. This paper applies the procedure of [Dynamic output feedback MPC for LPV systems via near-optimal solution, Proceedings of CCC2011] and the ellipsoidal estimation error set refreshment technique in [Dynamic output feedback robust model predictive control based on ellipsoidal estimation error bound, Acta Automatica Sinica 2014], originally both for polytopic model parametric uncertainty. The recursive feasibility of the main optimization problem and quadratic boundedness of closed system are guaranteed. The effectiveness of the proposed MPC is illustrated by a numerical example.

引用

页码：4330 / 4335

页数：6

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