Model structure selection for a discrete-time non-linear system using a 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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
Professional Engineering Publishing
2004
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/7040/ |
| _version_ | 1848891394455764992 |
|---|---|
| author | Ahmad, R. Jamaluddin, H. Hussain, M. A. |
| author_facet | Ahmad, R. Jamaluddin, H. Hussain, M. A. |
| author_sort | Ahmad, R. |
| building | UTeM Institutional Repository |
| collection | Online Access |
| 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 | 2025-11-15T20:57:16Z |
| format | Article |
| id | utm-7040 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T20:57:16Z |
| publishDate | 2004 |
| publisher | Professional Engineering Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-70402017-10-22T07:30:20Z http://eprints.utm.my/7040/ Model structure selection for a discrete-time non-linear system using a genetic algorithm Ahmad, R. Jamaluddin, H. Hussain, M. A. TJ Mechanical engineering and machinery 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. Professional Engineering Publishing 2004-03 Article PeerReviewed Ahmad, R. and Jamaluddin, H. and Hussain, M. A. (2004) Model structure selection for a discrete-time non-linear system using a genetic algorithm. Journal of Systems and Control Engineering, 218 (12). pp. 85-98. ISSN 0959-6518 http://journals.sagepub.com/doi/abs/10.1177/095965180421800203 |
| spellingShingle | TJ Mechanical engineering and machinery Ahmad, R. Jamaluddin, H. Hussain, M. A. Model structure selection for a discrete-time non-linear system using a genetic algorithm |
| title | Model structure selection for a discrete-time non-linear system using a genetic algorithm |
| title_full | Model structure selection for a discrete-time non-linear system using a genetic algorithm |
| title_fullStr | Model structure selection for a discrete-time non-linear system using a genetic algorithm |
| title_full_unstemmed | Model structure selection for a discrete-time non-linear system using a genetic algorithm |
| title_short | Model structure selection for a discrete-time non-linear system using a genetic algorithm |
| title_sort | model structure selection for a discrete-time non-linear system using a genetic algorithm |
| topic | TJ Mechanical engineering and machinery |
| url | http://eprints.utm.my/7040/ http://eprints.utm.my/7040/ |