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

Haris Anwaar; Yin Yi Xin; Salman Ijaz

doi:10.1109/CCDC.2017.7979073

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 proceeding › Conference contribution › peer-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 language	English
Title of host publication	Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3282-3289
Number of pages	8
ISBN (Electronic)	9781509046560
DOIs	https://doi.org/10.1109/CCDC.2017.7979073
Publication status	Published - 12 Jul 2017
Externally published	Yes
Event	29th Chinese Control and Decision Conference, CCDC 2017 - Chongqing, China Duration: 28 May 2017 → 30 May 2017

Publication series

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

Conference

Conference	29th Chinese Control and Decision Conference, CCDC 2017
Country/Territory	China
City	Chongqing
Period	28/05/17 → 30/05/17

Keywords

Adaptive ILC
Iterative learning control
Survey
Terminal iterative learning control

ASJC Scopus subject areas

Decision Sciences (miscellaneous)
Control and Optimization

Access to Document

10.1109/CCDC.2017.7979073

Cite this

Anwaar, H., Xin, Y. Y., & Ijaz, S. (2017). A comprehensive survey on recent developments in iterative learning control algorithms and applications. In Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017 (pp. 3282-3289). Article 7979073 (Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC.2017.7979073

Anwaar, Haris ; Xin, Yin Yi ; Ijaz, Salman. / A comprehensive survey on recent developments in iterative learning control algorithms and applications. Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 3282-3289 (Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017).

@inproceedings{a4c1f89e2b224362a3d943f6f8f6dadb,

title = "A comprehensive survey on recent developments in iterative learning control algorithms and applications",

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.",

keywords = "Adaptive ILC, Iterative learning control, Survey, Terminal iterative learning control",

author = "Haris Anwaar and Xin, {Yin Yi} and Salman Ijaz",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 29th Chinese Control and Decision Conference, CCDC 2017 ; Conference date: 28-05-2017 Through 30-05-2017",

year = "2017",

month = jul,

day = "12",

doi = "10.1109/CCDC.2017.7979073",

language = "English",

series = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "3282--3289",

booktitle = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",

address = "United States",

}

Anwaar, H, Xin, YY & Ijaz, S 2017, A comprehensive survey on recent developments in iterative learning control algorithms and applications. in Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017., 7979073, Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017, Institute of Electrical and Electronics Engineers Inc., pp. 3282-3289, 29th Chinese Control and Decision Conference, CCDC 2017, Chongqing, China, 28/05/17. https://doi.org/10.1109/CCDC.2017.7979073

A comprehensive survey on recent developments in iterative learning control algorithms and applications. / Anwaar, Haris; Xin, Yin Yi; Ijaz, Salman.
Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 3282-3289 7979073 (Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A comprehensive survey on recent developments in iterative learning control algorithms and applications

AU - Anwaar, Haris

AU - Xin, Yin Yi

AU - Ijaz, Salman

PY - 2017/7/12

Y1 - 2017/7/12

N2 - 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.

AB - 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.

KW - Adaptive ILC

KW - Iterative learning control

KW - Survey

KW - Terminal iterative learning control

UR - http://www.scopus.com/inward/record.url?scp=85028042905&partnerID=8YFLogxK

U2 - 10.1109/CCDC.2017.7979073

DO - 10.1109/CCDC.2017.7979073

M3 - Conference contribution

AN - SCOPUS:85028042905

T3 - Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

SP - 3282

EP - 3289

BT - Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 29th Chinese Control and Decision Conference, CCDC 2017

Y2 - 28 May 2017 through 30 May 2017

ER -

Anwaar H, Xin YY, Ijaz S. A comprehensive survey on recent developments in iterative learning control algorithms and applications. In Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 3282-3289. 7979073. (Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017). doi: 10.1109/CCDC.2017.7979073

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this