A kernel-based nonparametric approach to direct data-driven control of LTI systems

被引：3
|
作者：
Cerone, V. [1 ]
Regruto, D. [1 ]
Abuabiah, M. [1 ]
Fadda, E. [1 ]
机构：
[1] Politecn Torino, Dipartimento Automat & Informat, Corso Duca Abruzzi 24, I-10129 Turin, Italy
来源：
IFAC PAPERSONLINE | 2018年 / 51卷 / 15期
关键词：
kernel based nonparametric; error in variables; Non-iterative Direct Data Driven Control tuning; FEEDBACK CONTROLLERS; DESIGN;
D O I：
10.1016/j.ifacol.2018.09.059
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 work we propose a kernel-based robust nonparametric approach to direct data-driven control of linear systems, in the presence of bounded noise affecting the measurements data. First we formulate the problem of designing a controller in order to match the behavior of a given reference model. Then, we design the controller by applying previous results by some of the authors in the field of kernel-based nonparametric error-in-variables identification. Finally, we show the effectiveness of the presented technique by means of two simulation examples. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：1026 / 1031
页数：6
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