Observer Based Iterative Learning Control of Uncertain Plant

被引：3
|
作者：
Emelianova, Julia [1 ]
Pakshin, Pavel [1 ,2 ]
Emelianov, Mikhail [1 ]
机构：
[1] RE Alekseev Nizhny Novgorod State Tech Univ, Arzamas Polytech Inst, 19 Kalinina St, Arzamas 607227, Russia
[2] Lobachevsky State Univ Nizhny Novgorod, Prospekt Gagarina 23, Nizhnii Novgorod 603950, Russia
来源：
IFAC PAPERSONLINE | 2019年 / 52卷 / 29期
基金：
俄罗斯科学基金会;
关键词：
iterative learning control; design method; parametric uncertainty; state observer; repetitive processes; vector Lyapunov function; dissipativity;
D O I：
10.1016/j.ifacol.2019.12.666
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, differential and discrete linear systems with the affine model of parametric uncertainty are considered. A new method of iterative learning control design for such systems is proposed. This method is based on using a full state observer in combination with the method of vector Lyapunov functions and dissipativity theory for repetitive processes. An example demonstrating the features and advantages of the new design is given. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：298 / 303
页数：6
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