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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| Format: | Article |
| Language: | English |
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ICIC International
2015
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| Online Access: | http://umpir.ump.edu.my/id/eprint/29908/1/Simultaneous%20computation%20of%20model%20order%20and%20parameter%20estimation%20.pdf |
| _version_ | 1796994337380237312 |
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| author | Zuwairie, Ibrahim Sophan Wahyudi, Nawawi Saifudin, Razali Bakhtiar, Muhammad K. Z. M., Azmi Zulfakar, Aspar Nor Azlina, Ab. Aziz |
| author_facet | Zuwairie, Ibrahim Sophan Wahyudi, Nawawi Saifudin, Razali Bakhtiar, Muhammad K. Z. M., Azmi Zulfakar, Aspar Nor Azlina, Ab. Aziz |
| author_sort | Zuwairie, Ibrahim |
| collection | UMP |
| 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 | 2024-03-06T12:46:24Z |
| format | Article |
| id | UMPir29908 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:46:24Z |
| publishDate | 2015 |
| publisher | ICIC International |
| record_format | dspace |
| spelling | UMPir299082020-11-12T06:14:40Z http://umpir.ump.edu.my/id/eprint/29908/ Simultaneous computation of model order and parameter estimation of a heating system based on particle swarm optimization for autoregressive with exogenous model Zuwairie, Ibrahim Sophan Wahyudi, Nawawi Saifudin, Razali Bakhtiar, Muhammad K. Z. M., Azmi Zulfakar, Aspar Nor Azlina, Ab. Aziz 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 International 2015-01-01 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/29908/1/Simultaneous%20computation%20of%20model%20order%20and%20parameter%20estimation%20.pdf Zuwairie, Ibrahim and Sophan Wahyudi, Nawawi and Saifudin, Razali and Bakhtiar, Muhammad and K. Z. M., Azmi and Zulfakar, Aspar and Nor Azlina, Ab. Aziz (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. (Published) http://www.icicel.org/ell/contents.html |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Zuwairie, Ibrahim Sophan Wahyudi, Nawawi Saifudin, Razali Bakhtiar, Muhammad K. Z. M., Azmi Zulfakar, Aspar Nor Azlina, Ab. Aziz 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://umpir.ump.edu.my/id/eprint/29908/1/Simultaneous%20computation%20of%20model%20order%20and%20parameter%20estimation%20.pdf |
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