A comprehensive survey on recent developments in iterative learning control algorithms and applications

Haris Anwaar, Yin Yi Xin, Salman Ijaz

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

7 Citations (Scopus)

Abstract

Iterative learning control (ILC) has evolved with the time after Arimoto's first paper, ILC was designed to cope the problems associated with the processes which involve repetitions. ILC involves dynamics along two dimensions i.e., iteration domain and time domain, which makes it different from other control techniques. In this paper, a comprehensive insight is given for the evolution of different areas for ILC, i.e., other control design techniques which when combined with ILC, provide improvement in robustness, performance, convergence of ILC. Moreover, by these combinations, ILC can address more broad applications and system dynamics.

Original languageEnglish
Title of host publicationProceedings of the 29th Chinese Control and Decision Conference, CCDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3282-3289
Number of pages8
ISBN (Electronic)9781509046560
DOIs
Publication statusPublished - 12 Jul 2017
Externally publishedYes
Event29th Chinese Control and Decision Conference, CCDC 2017 - Chongqing, China
Duration: 28 May 201730 May 2017

Publication series

NameProceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

Conference

Conference29th Chinese Control and Decision Conference, CCDC 2017
Country/TerritoryChina
CityChongqing
Period28/05/1730/05/17

Keywords

  • Adaptive ILC
  • Iterative learning control
  • Survey
  • Terminal iterative learning control

ASJC Scopus subject areas

  • Decision Sciences (miscellaneous)
  • Control and Optimization

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