Iterative learning control with multiple points and final point tracking

Haris Anwaar, Yin Yi Xin, Salman Ijaz

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017
EditorsBing Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1458-1462
Number of pages5
ISBN (Electronic)9781467389778
DOIs
Publication statusPublished - 29 Sep 2017
Externally publishedYes
Event2nd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017 - Chongqing, China
Duration: 25 Mar 201726 Mar 2017

Publication series

NameProceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017

Conference

Conference2nd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017
Country/TerritoryChina
CityChongqing
Period25/03/1726/03/17

Keywords

  • Iterative Learning control
  • Point to Point Iterative learning control
  • Terminal iterative learning control

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Information Systems
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Information Systems and Management

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