Iterative Learning Control with Multiple Points and Final Point Tracking

被引：0

作者：

Anwaar, Haris ^{[1
]}

Xin, Yin Yi ^{[1
]}

Ijaz, Salman ^{[2
]}

机构：

[1] Univ Sci & Technol, Beijing, Peoples R China

[2] Beihang Univ, Beijing, Peoples R China

来源：

2017 IEEE 2ND ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC) | 2017年

关键词：

Point to Point Iterative learning control; Iterative Learning control; Terminal iterative learning control; CONVERGENCE; ALGORITHM; SYSTEMS; DESIGN; ROBOTS; ERROR;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Iterative learning control (ILC) involves the tracking of a trajectory over a finite interval, but with the introduction of new applications, scenarios emerged where tracking for whole duration is not mandatory, while tracking on specific points have more significance, so other forms of ILC emerged which are termed as point to point ILC with significance at intermediate points or specific points during the trajectory and Terminal point ILC with significance at final point. In this article, a comparison between these forms of ILC and different issues arising in the respective ILC forms are addressed and briefed.

引用

页码：1458 / 1462

页数：5

共 35 条

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