A novel scheme to estimate the model order of physical systems

Haris M. Khalid; Rajamani Doraiswami; Lahouari Cheded

doi:10.1109/IEEEGCC.2009.5734319

A novel scheme to estimate the model order of physical systems

Haris M. Khalid, Rajamani Doraiswami, Lahouari Cheded

King Fahd University of Petroleum & Minerals

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

Abstract

A method to estimate the model order of physical systems is proposed. It is assumed that the region where the poles of a physical system are located is known. This a priori knowledge is generally obtained from the physical laws governing the physical system. Various model orders are chosen using the conventional model selection criteria. For each order, a model of the physical system is identified. If the poles of the identified model are not located in this region, this model is assumed to include extraneous poles and is rejected. This process is continued till the estimated model does not include extraneous poles. The proposed scheme is extensively evaluated on physical systems and the results are compared with those of the conventional schemes such as Akaike Information Criterion (AIC).

Original language	English
Title of host publication	2009 5th IEEE GCC Conference and Exhibition, GCC 2009
DOIs	https://doi.org/10.1109/IEEEGCC.2009.5734319
State	Published - 2009

Publication series

Name	2009 5th IEEE GCC Conference and Exhibition, GCC 2009

Keywords

Akaike Information Criterion
Model order selection criteria
Noise artifacts
Overfitting

ASJC Scopus subject areas

Energy Engineering and Power Technology
Control and Systems Engineering
Electrical and Electronic Engineering

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10.1109/IEEEGCC.2009.5734319

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title = "A novel scheme to estimate the model order of physical systems",

abstract = "A method to estimate the model order of physical systems is proposed. It is assumed that the region where the poles of a physical system are located is known. This a priori knowledge is generally obtained from the physical laws governing the physical system. Various model orders are chosen using the conventional model selection criteria. For each order, a model of the physical system is identified. If the poles of the identified model are not located in this region, this model is assumed to include extraneous poles and is rejected. This process is continued till the estimated model does not include extraneous poles. The proposed scheme is extensively evaluated on physical systems and the results are compared with those of the conventional schemes such as Akaike Information Criterion (AIC).",

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AU - Khalid, Haris M.

AU - Doraiswami, Rajamani

AU - Cheded, Lahouari

PY - 2009

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N2 - A method to estimate the model order of physical systems is proposed. It is assumed that the region where the poles of a physical system are located is known. This a priori knowledge is generally obtained from the physical laws governing the physical system. Various model orders are chosen using the conventional model selection criteria. For each order, a model of the physical system is identified. If the poles of the identified model are not located in this region, this model is assumed to include extraneous poles and is rejected. This process is continued till the estimated model does not include extraneous poles. The proposed scheme is extensively evaluated on physical systems and the results are compared with those of the conventional schemes such as Akaike Information Criterion (AIC).

AB - A method to estimate the model order of physical systems is proposed. It is assumed that the region where the poles of a physical system are located is known. This a priori knowledge is generally obtained from the physical laws governing the physical system. Various model orders are chosen using the conventional model selection criteria. For each order, a model of the physical system is identified. If the poles of the identified model are not located in this region, this model is assumed to include extraneous poles and is rejected. This process is continued till the estimated model does not include extraneous poles. The proposed scheme is extensively evaluated on physical systems and the results are compared with those of the conventional schemes such as Akaike Information Criterion (AIC).

KW - Akaike Information Criterion

KW - Model order selection criteria

KW - Noise artifacts

KW - Overfitting

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DO - 10.1109/IEEEGCC.2009.5734319

M3 - Conference contribution

AN - SCOPUS:79953896081

SN - 9781424438853

T3 - 2009 5th IEEE GCC Conference and Exhibition, GCC 2009

BT - 2009 5th IEEE GCC Conference and Exhibition, GCC 2009

ER -

A novel scheme to estimate the model order of physical systems

Abstract

Publication series

Keywords

ASJC Scopus subject areas

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