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

[1] Iterative learning control: Brief survey and categorization [J].

Ahn, Hyo-Sung ;

Chen, YangQuan ;

Moore, Kevin L. .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2007, 37 (06) :1099-1121

[2] BETTERING OPERATION OF ROBOTS BY LEARNING [J].

ARIMOTO, S ;

KAWAMURA, S ;

MIYAZAKI, F .

JOURNAL OF ROBOTIC SYSTEMS, 1984, 1 (02) :123-140

[3] Iterative learning of specified motions in task-space for redundant multi-joint hand-arm robots [J].

Arimoto, Suguru ;

Sekimoto, Masahiro ;

Kawamura, Sadao .

PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-10, 2007, :2867-+

[4] Power Quality Disturbance Classification Using Fuzzy C-Means Algorithm and Adaptive Particle Swarm Optimization [J].

Biswal, Birendra ;

Dash, P. K. ;

Panigrahi, B. K. .

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2009, 56 (01) :212-220

[5] A survey of iterative learning control [J].

Bristow, Douglas A. ;

Tharayil, Marina ;

Alleyne, Andrew G. .

IEEE CONTROL SYSTEMS MAGAZINE, 2006, 26 (03) :96-114

[6] An optimal design of PD-type iterative learning control with monotonic convergence [J].

Chen, YQ ;

Moore, KL .

PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL, 2002, :55-60

[7] A unified data-driven design framework of optimality-based generalized iterative learning control [J].

Chi, Ronghu ;

Hou, Zhongsheng ;

Huang, Biao ;

Jin, Shangtai .

COMPUTERS & CHEMICAL ENGINEERING, 2015, 77 :10-23

[8] Data-driven optimal terminal iterative learning control [J].

Chi, Ronghu ;

Wang, Danwei ;

Hou, Zhongsheng ;

Jin, Shangtai .

JOURNAL OF PROCESS CONTROL, 2012, 22 (10) :2026-2037

[9] A Novel Design Framework for Point-to-Point ILC Using Successive Projection [J].

Chu, Bing ;

Freeman, Chris T. ;

Owens, David H. .

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2015, 23 (03) :1156-1163

[10] Point-to-point motion control for a high-acceleration positioning table via cascaded learning schemes [J].

Ding, Han ;

Wu, Jianhua .

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2007, 54 (05) :2735-2744

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