Time-Varying FOPDT Modeling and On-line Parameter Identification

Zhenyu Yang; Zhen Sun

doi:10.3182/20130708-3-CN-2036.00019

Time-Varying FOPDT Modeling and On-line Parameter Identification

AAU Energy

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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Abstract

A type of Time-Varying First-Order Plus Dead-Time (TV-FOPDT) model is extended from SISO format into a MISO version by explicitly taking the disturbance input into consideration. Correspondingly, a set of on-line parameter identification algorithms oriented to MISO TV-FOPDT model are proposed based on the Mixed-Integer-Nonlinear Programming, Least-Mean-Square and sliding window techniques. The proposed approaches can simultaneously estimate the time-dependent system parameters, as well as the unknown disturbance input if it is the case, in an on-line manner. The proposed concepts and algorithms are firstly illustrated through a numerical example, and then applied to investigate transient superheat dynamic modeling in a supermarket refrigeration system.

Original language	English
Title of host publication	3th IFAC Symposium on Large Scale Complex Systems: Theory and Applications, 2013
Number of pages	6
Volume	13
Publisher	Elsevier
Publication date	10 Jul 2013
Pages	563-568
ISBN (Print)	978-3-902823-39-7
DOIs	https://doi.org/10.3182/20130708-3-CN-2036.00019
Publication status	Published - 10 Jul 2013
Event	: 13th IFAC Symposium on Large Scale Complex Systems: Theory and Applications - Shanghai, China Duration: 7 Jul 2013 → 10 Jul 2013

Conference

Conference	: 13th IFAC Symposium on Large Scale Complex Systems: Theory and Applications
Country/Territory	China
City	Shanghai
Period	07/07/2013 → 10/07/2013

Series	IFAC-PapersOnLine
Number	1
Volume	13
ISSN	1474-6670

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10.3182/20130708-3-CN-2036.00019

Time-Varying FOPDT Modeling and On-line Parameter IdentificationSubmitted manuscript, 157 KB

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Time-varying time-delay system identification
Yang, Z.
01/04/2011 → …
Project: Research
Nonlinear system identification and its application to fault detection and diagnosis
Yang, Z. & Sun, Z.
01/11/2008 → 30/06/2013
Project: Research

13th IFAC Symposium on Large Scale Complex Systems (LSS),
Zhenyu Yang (Speaker)
7 Jul 2013 → 10 Jul 2013
Activity: Talks and presentations › Conference presentations

Cite this

@inproceedings{4696689af413467e9c744a086f1e34d5,

title = "Time-Varying FOPDT Modeling and On-line Parameter Identification",

abstract = "A type of Time-Varying First-Order Plus Dead-Time (TV-FOPDT) model is extended from SISO format into a MISO version by explicitly taking the disturbance input into consideration. Correspondingly, a set of on-line parameter identification algorithms oriented to MISO TV-FOPDT model are proposed based on the Mixed-Integer-Nonlinear Programming, Least-Mean-Square and sliding window techniques. The proposed approaches can simultaneously estimate the time-dependent system parameters, as well as the unknown disturbance input if it is the case, in an on-line manner. The proposed concepts and algorithms are firstly illustrated through a numerical example, and then applied to investigate transient superheat dynamic modeling in a supermarket refrigeration system.",

author = "Zhenyu Yang and Zhen Sun",

year = "2013",

month = jul,

day = "10",

doi = "10.3182/20130708-3-CN-2036.00019",

language = "English",

isbn = "978-3-902823-39-7",

volume = "13",

series = "IFAC-PapersOnLine",

publisher = "Elsevier",

number = "1",

pages = "563--568",

booktitle = "3th IFAC Symposium on Large Scale Complex Systems: Theory and Applications, 2013",

address = "United Kingdom",

note = ": 13th IFAC Symposium on Large Scale Complex Systems: Theory and Applications ; Conference date: 07-07-2013 Through 10-07-2013",

}

Yang, Z & Sun, Z 2013, Time-Varying FOPDT Modeling and On-line Parameter Identification. in 3th IFAC Symposium on Large Scale Complex Systems: Theory and Applications, 2013. vol. 13, Elsevier, IFAC-PapersOnLine, no. 1, vol. 13, pp. 563-568, : 13th IFAC Symposium on Large Scale Complex Systems: Theory and Applications, Shanghai, China, 07/07/2013. https://doi.org/10.3182/20130708-3-CN-2036.00019

Time-Varying FOPDT Modeling and On-line Parameter Identification. / Yang, Zhenyu; Sun, Zhen.
3th IFAC Symposium on Large Scale Complex Systems: Theory and Applications, 2013. Vol. 13 Elsevier, 2013. p. 563-568 (IFAC-PapersOnLine; No. 1, Vol. 13).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Time-Varying FOPDT Modeling and On-line Parameter Identification

AU - Yang, Zhenyu

AU - Sun, Zhen

PY - 2013/7/10

Y1 - 2013/7/10

N2 - A type of Time-Varying First-Order Plus Dead-Time (TV-FOPDT) model is extended from SISO format into a MISO version by explicitly taking the disturbance input into consideration. Correspondingly, a set of on-line parameter identification algorithms oriented to MISO TV-FOPDT model are proposed based on the Mixed-Integer-Nonlinear Programming, Least-Mean-Square and sliding window techniques. The proposed approaches can simultaneously estimate the time-dependent system parameters, as well as the unknown disturbance input if it is the case, in an on-line manner. The proposed concepts and algorithms are firstly illustrated through a numerical example, and then applied to investigate transient superheat dynamic modeling in a supermarket refrigeration system.

AB - A type of Time-Varying First-Order Plus Dead-Time (TV-FOPDT) model is extended from SISO format into a MISO version by explicitly taking the disturbance input into consideration. Correspondingly, a set of on-line parameter identification algorithms oriented to MISO TV-FOPDT model are proposed based on the Mixed-Integer-Nonlinear Programming, Least-Mean-Square and sliding window techniques. The proposed approaches can simultaneously estimate the time-dependent system parameters, as well as the unknown disturbance input if it is the case, in an on-line manner. The proposed concepts and algorithms are firstly illustrated through a numerical example, and then applied to investigate transient superheat dynamic modeling in a supermarket refrigeration system.

U2 - 10.3182/20130708-3-CN-2036.00019

DO - 10.3182/20130708-3-CN-2036.00019

M3 - Article in proceeding

SN - 978-3-902823-39-7

VL - 13

T3 - IFAC-PapersOnLine

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BT - 3th IFAC Symposium on Large Scale Complex Systems: Theory and Applications, 2013

PB - Elsevier

T2 - : 13th IFAC Symposium on Large Scale Complex Systems: Theory and Applications

Y2 - 7 July 2013 through 10 July 2013

ER -

Time-Varying FOPDT Modeling and On-line Parameter Identification

Abstract

Conference

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Projects

Time-varying time-delay system identification

Nonlinear system identification and its application to fault detection and diagnosis

Activities

13th IFAC Symposium on Large Scale Complex Systems (LSS),

Cite this