Improved system identification with Renormalization Group

Qing Guo Wang; Chao Yu; Yong Zhang

doi:10.1016/j.isatra.2013.10.003

Improved system identification with Renormalization Group

Qing Guo Wang, Chao Yu, Yong Zhang

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

This paper proposes an improved system identification method with Renormalization Group. Renormalization Group is applied to a fine data set to obtain a coarse data set. The least squares algorithm is performed on the coarse data set. The theoretical analysis under certain conditions shows that the parameter estimation error could be reduced. The proposed method is illustrated with examples.

Original language	English
Pages (from-to)	1481-1488
Number of pages	8
Journal	ISA Transactions
Volume	53
Issue number	5
DOIs	https://doi.org/10.1016/j.isatra.2013.10.003
Publication status	Published - 1 Sept 2014
Externally published	Yes

Keywords

Group
Least squares estimate
Renormalization
System identification

ASJC Scopus subject areas

Control and Systems Engineering
Instrumentation
Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

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10.1016/j.isatra.2013.10.003

Cite this

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title = "Improved system identification with Renormalization Group",

abstract = "This paper proposes an improved system identification method with Renormalization Group. Renormalization Group is applied to a fine data set to obtain a coarse data set. The least squares algorithm is performed on the coarse data set. The theoretical analysis under certain conditions shows that the parameter estimation error could be reduced. The proposed method is illustrated with examples.",

keywords = "Group, Least squares estimate, Renormalization, System identification",

author = "Wang, {Qing Guo} and Chao Yu and Yong Zhang",

year = "2014",

month = sep,

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doi = "10.1016/j.isatra.2013.10.003",

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journal = "ISA Transactions",

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T1 - Improved system identification with Renormalization Group

AU - Wang, Qing Guo

AU - Yu, Chao

AU - Zhang, Yong

PY - 2014/9/1

Y1 - 2014/9/1

N2 - This paper proposes an improved system identification method with Renormalization Group. Renormalization Group is applied to a fine data set to obtain a coarse data set. The least squares algorithm is performed on the coarse data set. The theoretical analysis under certain conditions shows that the parameter estimation error could be reduced. The proposed method is illustrated with examples.

AB - This paper proposes an improved system identification method with Renormalization Group. Renormalization Group is applied to a fine data set to obtain a coarse data set. The least squares algorithm is performed on the coarse data set. The theoretical analysis under certain conditions shows that the parameter estimation error could be reduced. The proposed method is illustrated with examples.

KW - Group

KW - Least squares estimate

KW - Renormalization

KW - System identification

UR - http://www.scopus.com/inward/record.url?scp=84908118016&partnerID=8YFLogxK

U2 - 10.1016/j.isatra.2013.10.003

DO - 10.1016/j.isatra.2013.10.003

M3 - Article

AN - SCOPUS:84908118016

SN - 0019-0578

VL - 53

SP - 1481

EP - 1488

JO - ISA Transactions

JF - ISA Transactions

IS - 5

ER -

Improved system identification with Renormalization Group

Abstract

Keywords

ASJC Scopus subject areas

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