Stability of First and High Order Iterative Learning Control with Data Dropouts

被引：51

作者：

Bu, Xuhui ^{[1
]}

Hon, Zhongsheng ^{[2
,3
]}

Yu, Fashan ^{[1
]}

机构：

[1] Henan Polytech Univ, Sch Elect Engn & Automat, Jiaozuo, Peoples R China

[2] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Dept Automat Control, Beijing, Peoples R China

[3] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Adv Control Syst Lab, Beijing, Peoples R China

来源：

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | 2011年 / 9卷 / 05期

基金：

中国国家自然科学基金;

关键词：

High-order learning scheme; iterative learning control; measurement dropout; robustness; NETWORKED CONTROL-SYSTEMS; H-INFINITY CONTROL; TIME; DESIGN;

D O I：

10.1007/s12555-011-0504-9

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 presents a stability analysis of the iterative learning control (ILC) problem for discrete-lime systems when the plants are subject to output measurement data dropouts. It is assumed that data dropout occurs during the data transfers from the plant to the ILC controller, resulting in what is called intermittent ILC. Using the super-vector approach for ILC, the expectation of output error is used to develop conditions for stability of the first order ILC and high order ILC processes. Through the theoretical analysis, it is shown that the convergence of the intermittent ILC is guaranteed although some measurements are missing. The analysis is also supported by numerical examples.

引用

页码：843 / 849

页数：7

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