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...
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| Format: | Conference or Workshop Item |
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Institute of Electrical and Electronics Engineers
2002
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| _version_ | 1825909990713458688 |
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| author | Ahmad, R. Jamaluddin, H. Hussain, M. A. |
| author_facet | Ahmad, R. Jamaluddin, H. Hussain, M. A. |
| author_sort | Ahmad, R. |
| collection | ePrints |
| 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 | 2024-03-05T18:10:24Z |
| format | Conference or Workshop Item |
| id | utm.eprints-7091 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:10:24Z |
| publishDate | 2002 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | utm.eprints-70912017-08-27T07:17:41Z http://eprints.utm.my/7091/ Multivariable system identification for dynamic discrete-time nonlinear system using genetic algorithm Ahmad, R. Jamaluddin, H. Hussain, M. A. TJ Mechanical engineering and machinery 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. Institute of Electrical and Electronics Engineers 2002 Conference or Workshop Item PeerReviewed Ahmad, R. and Jamaluddin, H. and Hussain, M. A. (2002) Multivariable system identification for dynamic discrete-time nonlinear system using genetic algorithm. In: IEEE International Conference on Systems, Man and Cybernetics, 6-9 Oct. 2002, Yasmine Hammamet, Tunisia. https://dx.doi.org/10.1109/ICSMC.2002.1176409 |
| spellingShingle | TJ Mechanical engineering and machinery Ahmad, R. Jamaluddin, H. Hussain, M. A. 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 | TJ Mechanical engineering and machinery |
| work_keys_str_mv | AT ahmadr multivariablesystemidentificationfordynamicdiscretetimenonlinearsystemusinggeneticalgorithm AT jamaluddinh multivariablesystemidentificationfordynamicdiscretetimenonlinearsystemusinggeneticalgorithm AT hussainma multivariablesystemidentificationfordynamicdiscretetimenonlinearsystemusinggeneticalgorithm |