Time-varying water temperature modelling of steam distillation pilot plant using NARX-based binary particle swarm optimisation structure selection / Najidah Hambali … [et al.]
Many studies in current years has concentrated on both linear and nonlinear modelling in the real nonlinear system applications. This study reports a nonlinear modelling for a time-varying process of water temperature by utilising a Binary Particle Swarm Optimisation (BPSO) algorithm based on Nonlin...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam
2017
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/29593/1/29593.pdf https://ir.uitm.edu.my/id/eprint/29593/ https://jeesr.uitm.edu.my/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1839753406595465216 |
|---|---|
| author | Hambali, Najidah Taib, Mohd Nasir Mohd Yassin, Ahmad Ihsan Rahiman, Mohd Hezri Fazalul |
| author_facet | Hambali, Najidah Taib, Mohd Nasir Mohd Yassin, Ahmad Ihsan Rahiman, Mohd Hezri Fazalul |
| author_sort | Hambali, Najidah |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Many studies in current years has concentrated on both linear and nonlinear modelling in the real nonlinear system applications. This study reports a nonlinear modelling for a time-varying process of water temperature by utilising a Binary Particle Swarm Optimisation (BPSO) algorithm based on Nonlinear Auto-Regressive with eXogenous input (NARX) structure. The model structure selection of polynomial NARX has been concentrated on BPSO algorithm for system identification of Steam Distillation Pilot Plant (SDPP). Several model’s selection criteria such as Akaike Information Criterion (AIC), Model Descriptor Length (MDL), and Final Prediction Error (FPE) were investigated. The results demonstrated that all criterion models were considered valid and accurate representations of the system. The accuracy was evaluated by the high R-squared, small MSE value and passed all the correlation and histogram tests. |
| format | Article |
| id | my.uitm.ir-29593 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2017 |
| publisher | Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam |
| record_format | eprints |
| spelling | my.uitm.ir-295932025-07-29T04:41:17Z https://ir.uitm.edu.my/id/eprint/29593/ Time-varying water temperature modelling of steam distillation pilot plant using NARX-based binary particle swarm optimisation structure selection / Najidah Hambali … [et al.] jeesr Hambali, Najidah Taib, Mohd Nasir Mohd Yassin, Ahmad Ihsan Rahiman, Mohd Hezri Fazalul Electronics Computer engineering. Computer hardware Many studies in current years has concentrated on both linear and nonlinear modelling in the real nonlinear system applications. This study reports a nonlinear modelling for a time-varying process of water temperature by utilising a Binary Particle Swarm Optimisation (BPSO) algorithm based on Nonlinear Auto-Regressive with eXogenous input (NARX) structure. The model structure selection of polynomial NARX has been concentrated on BPSO algorithm for system identification of Steam Distillation Pilot Plant (SDPP). Several model’s selection criteria such as Akaike Information Criterion (AIC), Model Descriptor Length (MDL), and Final Prediction Error (FPE) were investigated. The results demonstrated that all criterion models were considered valid and accurate representations of the system. The accuracy was evaluated by the high R-squared, small MSE value and passed all the correlation and histogram tests. Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam 2017-06 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/29593/1/29593.pdf Hambali, Najidah and Taib, Mohd Nasir and Mohd Yassin, Ahmad Ihsan and Rahiman, Mohd Hezri Fazalul (2017) Time-varying water temperature modelling of steam distillation pilot plant using NARX-based binary particle swarm optimisation structure selection / Najidah Hambali … [et al.]. (2017) Journal of Electrical and Electronic Systems Research (JEESR) <https://ir.uitm.edu.my/view/publication/Journal_of_Electrical_and_Electronic_Systems_Research_=28JEESR=29.html>, 10 (1): 4. ISSN 1985-5389 https://jeesr.uitm.edu.my/ |
| spellingShingle | Electronics Computer engineering. Computer hardware Hambali, Najidah Taib, Mohd Nasir Mohd Yassin, Ahmad Ihsan Rahiman, Mohd Hezri Fazalul Time-varying water temperature modelling of steam distillation pilot plant using NARX-based binary particle swarm optimisation structure selection / Najidah Hambali … [et al.] |
| title | Time-varying water temperature modelling of steam distillation pilot plant using NARX-based binary particle swarm optimisation structure selection / Najidah Hambali … [et al.] |
| title_full | Time-varying water temperature modelling of steam distillation pilot plant using NARX-based binary particle swarm optimisation structure selection / Najidah Hambali … [et al.] |
| title_fullStr | Time-varying water temperature modelling of steam distillation pilot plant using NARX-based binary particle swarm optimisation structure selection / Najidah Hambali … [et al.] |
| title_full_unstemmed | Time-varying water temperature modelling of steam distillation pilot plant using NARX-based binary particle swarm optimisation structure selection / Najidah Hambali … [et al.] |
| title_short | Time-varying water temperature modelling of steam distillation pilot plant using NARX-based binary particle swarm optimisation structure selection / Najidah Hambali … [et al.] |
| title_sort | time-varying water temperature modelling of steam distillation pilot plant using narx-based binary particle swarm optimisation structure selection / najidah hambali … [et al.] |
| topic | Electronics Computer engineering. Computer hardware |
| url | https://ir.uitm.edu.my/id/eprint/29593/1/29593.pdf https://ir.uitm.edu.my/id/eprint/29593/ https://jeesr.uitm.edu.my/ |
| url_provider | http://ir.uitm.edu.my/ |