Robust receding horizon control for linear systems with state and input dependent disturbances

被引：0
|
作者：
Schaich, Rainer M. [1 ]
Cannon, Mark [1 ]
机构：
[1] Univ Oxford, Dept Engn Sci, Parks Rd, Oxford OX1 3PJ, England
来源：
IFAC PAPERSONLINE | 2015年 / 48卷 / 23期
关键词：
Robust optimal control; min-max control; multiparametric programming; MODEL-PREDICTIVE CONTROL;
D O I：
10.1016/j.ifacol.2015.11.333
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A robust model predictive controller is proposed for constrained linear tems with unknown disturbances that a re subject to state and input dependent piecewise affine bounds. The formulation encompasses problems involving model uncertainty from unknown system parameters and linearisation errors. We propose a computationally efficient method for the online optimization of a receding horizon min-max cost over the class of feedback strategies subject robust constraint satisfaction and provide an illustrative numerical example. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：533 / 539
页数：7
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