H∞-based design approach to discrete-time learning control systems with iteration-varying disturbances

被引：8

作者：

Meng, Deyuan ^{[1
]}

Jia, Yingmin ^{[1
]}

Du, Junping ^{[2
]}

Yu, Fashan ^{[3
]}

机构：

[1] Beihang Univ, Dept Syst & Control, Beijing 100191, Peoples R China

[2] Beijing Univ Posts & Telecommun, Sch Comp Sci & Technol, Key Lab Intelligent Telecommun Software & Multime, Beijing 100876, Peoples R China

[3] Henan Polytec Univ, Sch Elect Engn & Automat, Henan 454000, Peoples R China

来源：

PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009) | 2009年

关键词：

terative learning control; discrete-time systems; iteration-varying disturbances; H-infinity performance; linear matrix inequality;

D O I：

10.1109/CDC.2009.5399848

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 is concerned with the iterative learning control (ILC) problem for discrete-time systems with iteration-varying disturbances. Using the so-called super-vector approach to ILC, the discrete domain bounded real lemma is employed to develop a sufficient condition ensuring both the stability and the desired H-infinity performance of the ILC process. It is shown that this sufficient condition can be presented in terms of linear matrix inequalities (LMIs), which can also determine the learning gain matrix. A numerical simulation example is included to validate the theoretical results.

引用

页码：4882 / 4887

页数：6

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