Model structure selection for a discrete-time non-linear system using genetic algorithm
In recent years, extensive works on genetic algorithms have been reported covering various applications. Genetic algorithms (GAs) have received significant interest from researchers and have been applied to various optimization problems. They offer many advantages such as global search characteristi...
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| Format: | Article |
| Language: | English |
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2004
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| Online Access: | http://eprints.utm.my/7107/2/RobiahAhmad_2004ModelStructureSelectionGA.PDF |
| _version_ | 1825909992663810048 |
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| author | Ahmad, Robiah Jamaluddin , Hishamuddin Hussain, Mohd. Azlan |
| author_facet | Ahmad, Robiah Jamaluddin , Hishamuddin Hussain, Mohd. Azlan |
| author_sort | Ahmad, Robiah |
| collection | ePrints |
| description | In recent years, extensive works on genetic algorithms have been reported covering various applications. Genetic algorithms (GAs) have received significant interest from researchers and have been applied to various optimization problems. They offer many advantages such as global search characteristics, and this has led to the idea of using this programming method in modelling dynamic non-linear systems. In this paper, a methodology for model structure selection based on a genetic algorithm was developed and applied to non-linear discrete-time dynamic systems. First the effect of different combinations of GA operators on the performance of the model developed is studied. A proposed algorithm called modified GA, or MGA, is presented and a comparison between a simple GA and a modified GA is carried out. The performance of the proposed algorithm is also compared to the model developed using the orthogonal least squares (OLS) algorithm. The adequacy of the developed models is tested using one-step-ahead prediction and correlation-based model validation tests. The results show that the proposed algorithm can be employed as an algorithm to select the structure of the proposed model. |
| first_indexed | 2024-03-05T18:10:25Z |
| format | Article |
| id | utm.eprints-7107 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:10:25Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | utm.eprints-71072017-03-06T08:41:36Z http://eprints.utm.my/7107/ Model structure selection for a discrete-time non-linear system using genetic algorithm Ahmad, Robiah Jamaluddin , Hishamuddin Hussain, Mohd. Azlan TA Engineering (General). Civil engineering (General) In recent years, extensive works on genetic algorithms have been reported covering various applications. Genetic algorithms (GAs) have received significant interest from researchers and have been applied to various optimization problems. They offer many advantages such as global search characteristics, and this has led to the idea of using this programming method in modelling dynamic non-linear systems. In this paper, a methodology for model structure selection based on a genetic algorithm was developed and applied to non-linear discrete-time dynamic systems. First the effect of different combinations of GA operators on the performance of the model developed is studied. A proposed algorithm called modified GA, or MGA, is presented and a comparison between a simple GA and a modified GA is carried out. The performance of the proposed algorithm is also compared to the model developed using the orthogonal least squares (OLS) algorithm. The adequacy of the developed models is tested using one-step-ahead prediction and correlation-based model validation tests. The results show that the proposed algorithm can be employed as an algorithm to select the structure of the proposed model. 2004 Article PeerReviewed application/pdf en http://eprints.utm.my/7107/2/RobiahAhmad_2004ModelStructureSelectionGA.PDF Ahmad, Robiah and Jamaluddin , Hishamuddin and Hussain, Mohd. Azlan (2004) Model structure selection for a discrete-time non-linear system using genetic algorithm. Proc. Instn Mech. Engrs, J. Systems and Control Engineering, 218 (12). pp. 85-98. http://dx.doi.org/10.1243/095965104322892258 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Ahmad, Robiah Jamaluddin , Hishamuddin Hussain, Mohd. Azlan Model structure selection for a discrete-time non-linear system using genetic algorithm |
| title | Model structure selection for a discrete-time non-linear
system using genetic algorithm |
| title_full | Model structure selection for a discrete-time non-linear
system using genetic algorithm |
| title_fullStr | Model structure selection for a discrete-time non-linear
system using genetic algorithm |
| title_full_unstemmed | Model structure selection for a discrete-time non-linear
system using genetic algorithm |
| title_short | Model structure selection for a discrete-time non-linear
system using genetic algorithm |
| title_sort | model structure selection for a discrete time non linear system using genetic algorithm |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://eprints.utm.my/7107/2/RobiahAhmad_2004ModelStructureSelectionGA.PDF |
| work_keys_str_mv | AT ahmadrobiah modelstructureselectionforadiscretetimenonlinearsystemusinggeneticalgorithm AT jamaluddinhishamuddin modelstructureselectionforadiscretetimenonlinearsystemusinggeneticalgorithm AT hussainmohdazlan modelstructureselectionforadiscretetimenonlinearsystemusinggeneticalgorithm |