Time-Delay System Identification Using Genetic Algorithm: Part One: Precise FOPDT Model Estimation

Zhenyu Yang; Glen Thane Seested

doi:10.3182/20130902-3-CN-3020.00115

Time-Delay System Identification Using Genetic Algorithm: Part One: Precise FOPDT Model Estimation

Zhenyu Yang, Glen Thane Seested

AAU Energi

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

11 Citationer (Scopus)

1077 Downloads (Pure)

Abstract

Due to the unknown dead-time coefficient, the time-delay system identification turns to be a non-convex optimization problem. This paper investigates the identification of a simple time-delay system, named First-Order-Plus-Dead-Time (FOPDT), by using the Genetic Algorithm (GA) technique. The quality and performance of the GA-based identification are compared with those based on extended Least-Mean-Square (LMS) methods, subject to the consideration of different types of time-delay systems, excitation signals, Signal-to-Noise Ratios, and different evaluation criteria. The obtained results exhibit that the GA technique has a very promising capability in handling this type of non-convex system identification problem.

Originalsprog	Engelsk
Titel	Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science (2013)
Redaktører	Pedro M. Ferreira
Antal sider	7
Vol/bind	3
Forlag	Elsevier
Publikationsdato	4 sep. 2013
Udgave	1
Sider	561-567
ISBN (Trykt)	978-3-902823-45-8
DOI	https://doi.org/10.3182/20130902-3-CN-3020.00115
Status	Udgivet - 4 sep. 2013
Begivenhed	3rd IFAC International Conference on Intelligent Control and Automation Science - Chengdu, Kina Varighed: 2 sep. 2013 → 4 sep. 2013

Konference

Konference	3rd IFAC International Conference on Intelligent Control and Automation Science
Land/Område	Kina
By	Chengdu
Periode	02/09/2013 → 04/09/2013

Navn	IFAC-PapersOnLine
Nummer	1
Vol/bind	3
ISSN	1474-6670

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10.3182/20130902-3-CN-3020.00115

Time-Delay System Identification Using Genetic Algorithm - Part One: Precise FOPDT Model EstimationIndsendt manuskript, 916 KB

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Time-varying time-delay system identification
Yang, Z.
01/04/2011 → …
Projekter: Projekt › Forskning

3rd IFAC Conf. on Intelligent Control and Automation Science
Zhenyu Yang (Oplægsholder)
2 sep. 2013 → 4 sep. 2013
Aktivitet: Foredrag og mundtlige bidrag › Konferenceoplæg

Citationsformater

@inproceedings{e2c5495c59cb44bf94001505b77691e3,

title = "Time-Delay System Identification Using Genetic Algorithm: Part One: Precise FOPDT Model Estimation",

abstract = "Due to the unknown dead-time coefficient, the time-delay system identification turns to be a non-convex optimization problem. This paper investigates the identification of a simple time-delay system, named First-Order-Plus-Dead-Time (FOPDT), by using the Genetic Algorithm (GA) technique. The quality and performance of the GA-based identification are compared with those based on extended Least-Mean-Square (LMS) methods, subject to the consideration of different types of time-delay systems, excitation signals, Signal-to-Noise Ratios, and different evaluation criteria. The obtained results exhibit that the GA technique has a very promising capability in handling this type of non-convex system identification problem.",

author = "Zhenyu Yang and Seested, {Glen Thane}",

year = "2013",

month = sep,

day = "4",

doi = "10.3182/20130902-3-CN-3020.00115",

language = "English",

isbn = "978-3-902823-45-8",

volume = "3",

series = "IFAC-PapersOnLine",

publisher = "Elsevier",

number = "1",

pages = "561--567",

editor = "Ferreira, {Pedro M.}",

booktitle = "Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science (2013)",

address = "United Kingdom",

edition = "1",

note = "3rd IFAC International Conference on Intelligent Control and Automation Science ; Conference date: 02-09-2013 Through 04-09-2013",

}

Yang, Z & Seested, GT 2013, Time-Delay System Identification Using Genetic Algorithm: Part One: Precise FOPDT Model Estimation. i PM Ferreira (red.), Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science (2013). 1 udg, bind 3, Elsevier, IFAC-PapersOnLine, nr. 1, bind 3, s. 561-567, 3rd IFAC International Conference on Intelligent Control and Automation Science, Chengdu, Kina, 02/09/2013. https://doi.org/10.3182/20130902-3-CN-3020.00115

Time-Delay System Identification Using Genetic Algorithm: Part One: Precise FOPDT Model Estimation. / Yang, Zhenyu; Seested, Glen Thane.
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science (2013). red. / Pedro M. Ferreira. Bind 3 1. udg. Elsevier, 2013. s. 561-567 (IFAC-PapersOnLine; Nr. 1, Bind 3).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Time-Delay System Identification Using Genetic Algorithm

T2 - 3rd IFAC International Conference on Intelligent Control and Automation Science

AU - Yang, Zhenyu

AU - Seested, Glen Thane

PY - 2013/9/4

Y1 - 2013/9/4

N2 - Due to the unknown dead-time coefficient, the time-delay system identification turns to be a non-convex optimization problem. This paper investigates the identification of a simple time-delay system, named First-Order-Plus-Dead-Time (FOPDT), by using the Genetic Algorithm (GA) technique. The quality and performance of the GA-based identification are compared with those based on extended Least-Mean-Square (LMS) methods, subject to the consideration of different types of time-delay systems, excitation signals, Signal-to-Noise Ratios, and different evaluation criteria. The obtained results exhibit that the GA technique has a very promising capability in handling this type of non-convex system identification problem.

AB - Due to the unknown dead-time coefficient, the time-delay system identification turns to be a non-convex optimization problem. This paper investigates the identification of a simple time-delay system, named First-Order-Plus-Dead-Time (FOPDT), by using the Genetic Algorithm (GA) technique. The quality and performance of the GA-based identification are compared with those based on extended Least-Mean-Square (LMS) methods, subject to the consideration of different types of time-delay systems, excitation signals, Signal-to-Noise Ratios, and different evaluation criteria. The obtained results exhibit that the GA technique has a very promising capability in handling this type of non-convex system identification problem.

U2 - 10.3182/20130902-3-CN-3020.00115

DO - 10.3182/20130902-3-CN-3020.00115

M3 - Article in proceeding

SN - 978-3-902823-45-8

VL - 3

T3 - IFAC-PapersOnLine

SP - 561

EP - 567

BT - Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science (2013)

A2 - Ferreira, Pedro M.

PB - Elsevier

Y2 - 2 September 2013 through 4 September 2013

ER -

Time-Delay System Identification Using Genetic Algorithm: Part One: Precise FOPDT Model Estimation

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Time-varying time-delay system identification

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3rd IFAC Conf. on Intelligent Control and Automation Science

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