Wind turbine modeling with the slopes algorithm

José De Jesús Rubio, Luis Arturo Soriano, Wen Yu, Jaime Pacheco

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

In this paper, a fuzzy slopes model is introduced for the modeling of nonlinear systems with sparse data. The proposed method is the combination of the slopes and fuzzy models. The slopes model is used to obtain the missing output data of a nonlinear behavior, later, the fuzzy model is used for its approximation.

Idioma originalInglés
Título de la publicación alojada2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings
EditoresPlamen Angelov, Dimitar Filev, Nikola Kasabov, Edwin Lughofer, Erich Peter Klement, Susanne Saminger-Platz, Jose A. Iglesias, Moamar Sayed-Mouchaweh
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781479933471
DOI
EstadoPublicada - 2014
Evento2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Linz, Austria
Duración: 2 jun. 20144 jun. 2014

Serie de la publicación

Nombre2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings

Conferencia

Conferencia2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014
País/TerritorioAustria
CiudadLinz
Período2/06/144/06/14

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