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Simultaneous computation of model order and parameter estimation of a heating system based on particle swarm optimization for autoregressive with exogenous model

System identification is a method used to obtain a mathematical model of a system by performing analysis of input-output behavior of the system. In system identification, the procedure can be separated into four main parts. The first part is constructing an experiment to collect the input-output dat...

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Main Authors:	Ibrahim, Zuwairie, Nawawi, Sophan Wahyudi, Razali, S. Z., Muhammad, Badaruddin, Mohd. Azmi, Kamil Zakwan, Aspar, Zulfakar, Ab. Aziz, Nor Azlina
Format:	Article
Language:	English
Published:	ICIC Express Letters Office 2015
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/55985/1/ZuwairieIbrahim2015_SimultaneousComputationofModelOrderandParameterEstimation.pdf http://eprints.utm.my/id/eprint/55985/
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id	my.utm.55985
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spelling	my.utm.559852016-11-15T06:46:26Z http://eprints.utm.my/id/eprint/55985/ Simultaneous computation of model order and parameter estimation of a heating system based on particle swarm optimization for autoregressive with exogenous model Ibrahim, Zuwairie Nawawi, Sophan Wahyudi Razali, S. Z. Muhammad, Badaruddin Mohd. Azmi, Kamil Zakwan Aspar, Zulfakar Ab. Aziz, Nor Azlina TK Electrical engineering. Electronics Nuclear engineering System identification is a method used to obtain a mathematical model of a system by performing analysis of input-output behavior of the system. In system identification, the procedure can be separated into four main parts. The first part is constructing an experiment to collect the input-output data of the system. Then, based on some criteria, the model order and structure are selected. The next part is to estimate the parameters of the model. For the final part, the mathematical model is verified. In this study, a new approach called simultaneous model order and parameter estimation (SMOPE), which is based on Particle Swarm Optimization (PSO), is proposed to combine model order selection and parameter estimation in one platform. In this approach, both the model order and the parameters of the system are searched simultaneously by a particle. Similar to other PSO implementation, a number of particles are utilized in the search process. In order to realize the simultaneous search of the best model order and the associated parameters, a suitable particle representation is employed. Based on a heating system case study, it is proven that the proposed approach is superior compared to some other methods in literature. ICIC Express Letters Office 2015-01-01 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/55985/1/ZuwairieIbrahim2015_SimultaneousComputationofModelOrderandParameterEstimation.pdf Ibrahim, Zuwairie and Nawawi, Sophan Wahyudi and Razali, S. Z. and Muhammad, Badaruddin and Mohd. Azmi, Kamil Zakwan and Aspar, Zulfakar and Ab. Aziz, Nor Azlina (2015) Simultaneous computation of model order and parameter estimation of a heating system based on particle swarm optimization for autoregressive with exogenous model. ICIC Express Letters, 9 (4). pp. 1159-1165. ISSN 1881-803X
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Ibrahim, Zuwairie Nawawi, Sophan Wahyudi Razali, S. Z. Muhammad, Badaruddin Mohd. Azmi, Kamil Zakwan Aspar, Zulfakar Ab. Aziz, Nor Azlina Simultaneous computation of model order and parameter estimation of a heating system based on particle swarm optimization for autoregressive with exogenous model
description	System identification is a method used to obtain a mathematical model of a system by performing analysis of input-output behavior of the system. In system identification, the procedure can be separated into four main parts. The first part is constructing an experiment to collect the input-output data of the system. Then, based on some criteria, the model order and structure are selected. The next part is to estimate the parameters of the model. For the final part, the mathematical model is verified. In this study, a new approach called simultaneous model order and parameter estimation (SMOPE), which is based on Particle Swarm Optimization (PSO), is proposed to combine model order selection and parameter estimation in one platform. In this approach, both the model order and the parameters of the system are searched simultaneously by a particle. Similar to other PSO implementation, a number of particles are utilized in the search process. In order to realize the simultaneous search of the best model order and the associated parameters, a suitable particle representation is employed. Based on a heating system case study, it is proven that the proposed approach is superior compared to some other methods in literature.
format	Article
author	Ibrahim, Zuwairie Nawawi, Sophan Wahyudi Razali, S. Z. Muhammad, Badaruddin Mohd. Azmi, Kamil Zakwan Aspar, Zulfakar Ab. Aziz, Nor Azlina
author_facet	Ibrahim, Zuwairie Nawawi, Sophan Wahyudi Razali, S. Z. Muhammad, Badaruddin Mohd. Azmi, Kamil Zakwan Aspar, Zulfakar Ab. Aziz, Nor Azlina
author_sort	Ibrahim, Zuwairie
title	Simultaneous computation of model order and parameter estimation of a heating system based on particle swarm optimization for autoregressive with exogenous model
title_short	Simultaneous computation of model order and parameter estimation of a heating system based on particle swarm optimization for autoregressive with exogenous model
title_full	Simultaneous computation of model order and parameter estimation of a heating system based on particle swarm optimization for autoregressive with exogenous model
title_fullStr	Simultaneous computation of model order and parameter estimation of a heating system based on particle swarm optimization for autoregressive with exogenous model
title_full_unstemmed	Simultaneous computation of model order and parameter estimation of a heating system based on particle swarm optimization for autoregressive with exogenous model
title_sort	simultaneous computation of model order and parameter estimation of a heating system based on particle swarm optimization for autoregressive with exogenous model
publisher	ICIC Express Letters Office
publishDate	2015
url	http://eprints.utm.my/id/eprint/55985/1/ZuwairieIbrahim2015_SimultaneousComputationofModelOrderandParameterEstimation.pdf http://eprints.utm.my/id/eprint/55985/
_version_	1643653960443101184
score	13.211869

Simultaneous computation of model order and parameter estimation of a heating system based on particle swarm optimization for autoregressive with exogenous model

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