A synthesis approach for output feedback robust model predictive control based-on input-output model

被引:31
|
作者
Ding, Baocang [1 ]
Zou, Tao [2 ]
机构
[1] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Peoples R China
[2] Chinese Acad Sci, Shenyang Inst Automat, Shenyang 110016, Peoples R China
关键词
Model predictive control; Output feedback; Input-output model; Uncertain systems; LINEAR-SYSTEMS; MPC; TRACKING; DELAY;
D O I
10.1016/j.jprocont.2013.12.006
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 synthesis approach to output feedback robust model predictive control for a system with both polytopic description and bounded disturbance. It is not required to estimate the system state since the input-output model is directly utilized. The procedure extends the main results of Kothare et al. (1996) in specifying the system model, feedback law and closed-loop stability. By on-line implementation of the controller, the output and input of the closed-loop system will converge to a neighborhood of the equilibrium point. An example of the continuous stirred tank reactor (CSTR) is given to illustrate the effectiveness of the controller. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:60 / 72
页数:13
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