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...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
ICIC Express Letters Office
2015
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/55985/1/ZuwairieIbrahim2015_SimultaneousComputationofModelOrderandParameterEstimation.pdf |
| _version_ | 1796860299142234112 |
|---|---|
| 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 |
| collection | ePrints |
| 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. |
| first_indexed | 2024-03-05T19:39:18Z |
| format | Article |
| id | utm.eprints-55985 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T19:39:18Z |
| publishDate | 2015 |
| publisher | ICIC Express Letters Office |
| record_format | dspace |
| spelling | utm.eprints-559852016-11-15T06:46:26Z http://eprints.utm.my/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/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 |
| 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 |
| title | 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_short | 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 |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/55985/1/ZuwairieIbrahim2015_SimultaneousComputationofModelOrderandParameterEstimation.pdf |
| work_keys_str_mv | AT ibrahimzuwairie simultaneouscomputationofmodelorderandparameterestimationofaheatingsystembasedonparticleswarmoptimizationforautoregressivewithexogenousmodel AT nawawisophanwahyudi simultaneouscomputationofmodelorderandparameterestimationofaheatingsystembasedonparticleswarmoptimizationforautoregressivewithexogenousmodel AT razalisz simultaneouscomputationofmodelorderandparameterestimationofaheatingsystembasedonparticleswarmoptimizationforautoregressivewithexogenousmodel AT muhammadbadaruddin simultaneouscomputationofmodelorderandparameterestimationofaheatingsystembasedonparticleswarmoptimizationforautoregressivewithexogenousmodel AT mohdazmikamilzakwan simultaneouscomputationofmodelorderandparameterestimationofaheatingsystembasedonparticleswarmoptimizationforautoregressivewithexogenousmodel AT asparzulfakar simultaneouscomputationofmodelorderandparameterestimationofaheatingsystembasedonparticleswarmoptimizationforautoregressivewithexogenousmodel AT abaziznorazlina simultaneouscomputationofmodelorderandparameterestimationofaheatingsystembasedonparticleswarmoptimizationforautoregressivewithexogenousmodel |