TY - GEN
T1 - Modeling via on-line clustering and fuzzy support vector machines for nonlinear system
AU - Tovar, Julio César
AU - Yu, Wen
AU - Ortiz, Floriberto
AU - Mariaca, Carlos Román
AU - Rubio, José De Jesús
PY - 2011
Y1 - 2011
N2 - This paper describes a novel non-linear modeling approach by on-line clustering, fuzzy rules and fuzzy support vector machines. Structure identification is realized by on-line clustering method and support vector machines, and the rules are generated automatically. Time-varying learning rates are applied for updating the membership functions of the fuzzy rules. Finally, tue upper bounds of modeling errors are proven.
AB - This paper describes a novel non-linear modeling approach by on-line clustering, fuzzy rules and fuzzy support vector machines. Structure identification is realized by on-line clustering method and support vector machines, and the rules are generated automatically. Time-varying learning rates are applied for updating the membership functions of the fuzzy rules. Finally, tue upper bounds of modeling errors are proven.
UR - http://www.scopus.com/inward/record.url?scp=84860653764&partnerID=8YFLogxK
U2 - 10.1109/CDC.2011.6161420
DO - 10.1109/CDC.2011.6161420
M3 - Contribución a la conferencia
AN - SCOPUS:84860653764
SN - 9781612848006
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 8267
EP - 8272
BT - 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Y2 - 12 December 2011 through 15 December 2011
ER -