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.
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Official URL: https://dx.doi.org/10.1109/ICSMC.2002.1176409
Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | genetic algorithm, model structure selection, multivariable system, system identification |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Mechanical Engineering |
| ID Code: | 7091 |
| Deposited By: | Mohamad Ali Duki |
| Deposited On: | 30 Dec 2008 13:51 |
| Last Modified: | 27 Aug 2017 07:17 |
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