Iterative Learning Control with Input Saturation

被引：3

作者：

Pakshin, Pavel ^{[1
]}

Emelianova, Julia ^{[1
]}

Rogers, Eric ^{[2
]}

Galkowski, Krzysztof ^{[3
]}

机构：

[1] RE Alekseev Nizhny Novgorod State Tech Univ, Arzamas Polytech Inst, 19 Kalinina St, Arzamas 607227, Russia

[2] Univ Southampton, Dept Elect & Comp Sci, Southampton SO17 1BJ, Hants, England

[3] Univ Zielona Gora, Inst Control & Computat Engn, Ul Szafrana 2, PL-65516 Zielona Gora, Poland

来源：

IFAC PAPERSONLINE | 2019年 / 52卷 / 29期

基金：

俄罗斯基础研究基金会;

关键词：

iterative learning control; design method; input saturation; state observer; repetitive processes; vector Lyapunov function; dissipativity; CONTROL DESIGN;

D O I：

10.1016/j.ifacol.2019.12.698

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper considers iterative learning control for differential and discrete linear systems with control input saturation. A new design is developed based on the use of 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

页码：338 / 343

页数：6

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