Hierarchical decomposition of fuzzy controllers based on meta-knowledge
This paper focus on the problem of decomposing multivariable fuzzy controllers using a hierarchical approach based on the application of meta-knowledge. Usually, hierarchical fuzzy systems are based on a cascade structure of fuzzy logic controllers where the output of each level is considered as one...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 1998 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2099/3532 |
| Acceso en línea: | https://hdl.handle.net/2099/3532 |
| Access Level: | acceso abierto |
| Palabra clave: | Decomposing multivariable fuzzy controllers Semantics modifier Meta-knowledge Sistemes de control Classificació AMS::93 Systems Theory Control::93C Control systems, guided systems |
| Sumario: | This paper focus on the problem of decomposing multivariable fuzzy controllers using a hierarchical approach based on the application of meta-knowledge. Usually, hierarchical fuzzy systems are based on a cascade structure of fuzzy logic controllers where the output of each level is considered as one of the inputs to the following level. The paper introduces a different approach, to the idea of hierarchy, where the output of a level is considered not as input to the following level controller but as a semantics modifier. |
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