A Performance Analysis for Iterative Learning Control in the Presence of Observation Noise

被引：0

作者：

Shingin, Hidenori ^{[1
]}

机构：

[1] Yamaguchi Univ, Dept Mech Engn, 2-16-1 Tokiwadai, Ube, Yamaguchi 7558611, Japan

来源：

IFAC PAPERSONLINE | 2019年 / 52卷 / 17期

关键词：

Iterative learning control; observation noise; performance analysis; SYSTEMS;

D O I：

10.1016/j.ifacol.2019.11.023

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 investigates tracking performances attainable in iterative learning control of linear discrete-time systems with unknown parameters in the presence of observation noise. The transient and steady-state performances are measured by the decay rate and the magnitude of tracking error, respectively. A trade-off relation between these performances is represented by the product of the direct terms of the plant and the learning law. Numerical simulations are conducted to observe the trade-off behaviors. Copyright (C) 2019. The Authors. Published by Elsevier Ltd. All rights reserved.

引用

页码：37 / 41

页数：5

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