Algoritmo para generación de controladores difusos interpretables. Aplicación a un proceso de presión
A novel approach for the development of linguistically interpretable fuzzy singleton models from experimental data is proposed. The proposed methodology uses triangular sets with 0.5 interpolations. Averaging operator, instead of T-norm operator, is used for combining fuzzy rules. Singleton conseque...
- Autores:
-
Contreras Montes, Juan Antonio
Muñoz Aldana, David Javier
- Tipo de recurso:
- Fecha de publicación:
- 2011
- Institución:
- Universidad Santo Tomás
- Repositorio:
- Repositorio Institucional USTA
- Idioma:
- spa
- OAI Identifier:
- oai:repository.usta.edu.co:11634/45029
- Acceso en línea:
- http://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/2734
http://hdl.handle.net/11634/45029
- Palabra clave:
- Rights
- License
- Copyright (c) 2011 ITECKNE
| Summary: | A novel approach for the development of linguistically interpretable fuzzy singleton models from experimental data is proposed. The proposed methodology uses triangular sets with 0.5 interpolations. Averaging operator, instead of T-norm operator, is used for combining fuzzy rules. Singleton consequents are employed and least square method is used to adjust the consequents. The most promissory aspect in our proposal consists in achieving model without sacrificing the fuzzy system interpretability. The real-world applicability of the proposed approach is demonstrated by application to a pressure control using the LabVolt Process Control Training System (6090). |
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