Iterative learning control: Brief survey and categorization

被引：1273

作者：

Ahn, Hyo-Sung ^{[1
]}

Chen, YangQuan

Moore, Kevin L.

机构：

[1] Gwangju Inst Sci Technol, Dept Mechatron, Kwangju 500712, South Korea

[2] Utah State Univ, Ctr Self Organizing & Intelligent Syst, Dept Elect & Comp Engn, Logan, UT 84322 USA

[3] Colorado Sch Mines, Div Engn, Golden, CO 80401 USA

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS | 2007年 / 37卷 / 06期

关键词：

categorization; iterative learning control (ILC); literature review;

D O I：

10.1109/TSMCC.2007.905759

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the iterative learning control (ILC) literature published between 1998 and 2004 is categorized and discussed, extending the earlier reviews presented by two of the authors. The papers include's a general introduction to ILC and a technical description of the methodology. The selected results are reviewed, and the ILC literature is categorized into subcategories within the broader division of application-focused and theory-focused results.

引用

页码：1099 / 1121

页数：23

共 508 条

[1] Toward "smart tubes" using iterative learning control [J].