| Título |
Hierarchical fuzzy CMAC control for nonlinear systems |
| Tipo |
Revista |
| Sub-tipo |
JCR |
| Descripción |
Neural Computing and Applications |
| Resumen |
In this study, a novel indirect adaptive controller is introduced for a class of unknown nonlinear systems. The proposed method provides a simple control architecture that merges from the cerebellar model articulation controller (CMAC) network and hierarchical fuzzy logic; therefore, the complicated CMAC structure can be simplified. The overall adaptive scheme guarantees the uniform stability of the closed-loop system. A simulation is presented to demonstrate the performance of the proposed methodology. |
| Observaciones |
Received: 27 November 2012
Accepted: 20 April 2013
Published online: 12 May 2013 |
| Lugar |
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| País |
|
| No. de páginas |
323-331 |
| Vol. / Cap. |
Vol. 23, Issue SUPPL1 |
| Inicio |
2013-05-12 |
| Fin |
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| ISBN/ISSN |
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