TY - GEN
T1 - Wind turbine modeling with the slopes algorithm
AU - De Jesús Rubio, José
AU - Soriano, Luis Arturo
AU - Yu, Wen
AU - Pacheco, Jaime
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84920546130&partnerID=8YFLogxK
U2 - 10.1109/eais.2014.6867486
DO - 10.1109/eais.2014.6867486
M3 - Contribución a la conferencia
AN - SCOPUS:84920546130
T3 - 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings
BT - 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings
A2 - Angelov, Plamen
A2 - Filev, Dimitar
A2 - Kasabov, Nikola
A2 - Lughofer, Edwin
A2 - Klement, Erich Peter
A2 - Saminger-Platz, Susanne
A2 - Iglesias, Jose A.
A2 - Sayed-Mouchaweh, Moamar
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014
Y2 - 2 June 2014 through 4 June 2014
ER -