Multivariable system identification for dynamic discrete-time nonlinear system using genetic algorithm
The development of a multivariable system identification model for dynamic discrete-time nonlinear system using genetic algorithm was discussed and analysed. The identification of model structure for a jacketed continuous stirred tank reactor or CSTR was taken as case study. The analysis showed that...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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2002
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/7078/1/Multivariable_system_identification_for_dynamic_discrete-time_nonlinear_system_using_genetic_algorithm.pdf |
| _version_ | 1825719322104823808 |
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| author | Ahmad, R. Jamaluddin, H. Hussain, Mohd Azlan |
| author_facet | Ahmad, R. Jamaluddin, H. Hussain, Mohd Azlan |
| author_sort | Ahmad, R. |
| collection | UM |
| description | The development of a multivariable system identification model for dynamic discrete-time nonlinear system using genetic algorithm was discussed and analysed. The identification of model structure for a jacketed continuous stirred tank reactor or CSTR was taken as case study. The analysis showed that the proposed genetic algorithm provides an efficient way of determining the model structure of unknown nonlinear systems. |
| first_indexed | 2024-03-06T05:17:54Z |
| format | Conference or Workshop Item |
| id | um.eprints-7078 |
| institution | Universiti Malaya |
| language | English |
| last_indexed | 2024-03-06T05:17:54Z |
| publishDate | 2002 |
| record_format | dspace |
| spelling | um.eprints-70782021-02-10T03:17:24Z http://eprints.um.edu.my/7078/ Multivariable system identification for dynamic discrete-time nonlinear system using genetic algorithm Ahmad, R. Jamaluddin, H. Hussain, Mohd Azlan TA Engineering (General). Civil engineering (General) TP Chemical technology The development of a multivariable system identification model for dynamic discrete-time nonlinear system using genetic algorithm was discussed and analysed. The identification of model structure for a jacketed continuous stirred tank reactor or CSTR was taken as case study. The analysis showed that the proposed genetic algorithm provides an efficient way of determining the model structure of unknown nonlinear systems. 2002 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/7078/1/Multivariable_system_identification_for_dynamic_discrete-time_nonlinear_system_using_genetic_algorithm.pdf Ahmad, R. and Jamaluddin, H. and Hussain, Mohd Azlan (2002) Multivariable system identification for dynamic discrete-time nonlinear system using genetic algorithm. In: 2002 IEEE International Conference on Systems, Man and Cybernetics, 2002, Yasmine Hammamet. http://www.scopus.com/inward/record.url?eid=2-s2.0-0037731329&partnerID=40&md5=ee1678345723d582d910a2809d82c0c3 |
| spellingShingle | TA Engineering (General). Civil engineering (General) TP Chemical technology Ahmad, R. Jamaluddin, H. Hussain, Mohd Azlan Multivariable system identification for dynamic discrete-time nonlinear system using genetic algorithm |
| title | Multivariable system identification for dynamic discrete-time nonlinear system using genetic algorithm |
| title_full | Multivariable system identification for dynamic discrete-time nonlinear system using genetic algorithm |
| title_fullStr | Multivariable system identification for dynamic discrete-time nonlinear system using genetic algorithm |
| title_full_unstemmed | Multivariable system identification for dynamic discrete-time nonlinear system using genetic algorithm |
| title_short | Multivariable system identification for dynamic discrete-time nonlinear system using genetic algorithm |
| title_sort | multivariable system identification for dynamic discrete time nonlinear system using genetic algorithm |
| topic | TA Engineering (General). Civil engineering (General) TP Chemical technology |
| url | http://eprints.um.edu.my/7078/1/Multivariable_system_identification_for_dynamic_discrete-time_nonlinear_system_using_genetic_algorithm.pdf |
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