Modeling via on-line clustering and fuzzy support vector machines for nonlinear system

Julio César Tovar; Wen Yu; Floriberto Ortiz; Carlos Román Mariaca; José De Jesús Rubio

doi:10.1109/CDC.2011.6161420

Modeling via on-line clustering and fuzzy support vector machines for nonlinear system

Julio César Tovar, Wen Yu, Floriberto Ortiz, Carlos Román Mariaca, José De Jesús Rubio

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Azcapotzalco

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Title of host publication	2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	8267-8272
Number of pages	6
ISBN (Print)	9781612848006
DOIs	https://doi.org/10.1109/CDC.2011.6161420
State	Published - 2011
Event	2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 - Orlando, FL, United States Duration: 12 Dec 2011 → 15 Dec 2011

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Conference

Conference	2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Country/Territory	United States
City	Orlando, FL
Period	12/12/11 → 15/12/11

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10.1109/CDC.2011.6161420

Cite this

Tovar, J. C., Yu, W., Ortiz, F., Mariaca, C. R., & Rubio, J. D. J. (2011). Modeling via on-line clustering and fuzzy support vector machines for nonlinear system. In 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 (pp. 8267-8272). Article 6161420 (Proceedings of the IEEE Conference on Decision and Control). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2011.6161420

Tovar, Julio César ; Yu, Wen ; Ortiz, Floriberto et al. / Modeling via on-line clustering and fuzzy support vector machines for nonlinear system. 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011. Institute of Electrical and Electronics Engineers Inc., 2011. pp. 8267-8272 (Proceedings of the IEEE Conference on Decision and Control).

@inproceedings{1d489be5c9054dc1832c6984dfe0b3af,

title = "Modeling via on-line clustering and fuzzy support vector machines for nonlinear system",

abstract = "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.",

author = "Tovar, {Julio C{\'e}sar} and Wen Yu and Floriberto Ortiz and Mariaca, {Carlos Rom{\'a}n} and Rubio, {Jos{\'e} De Jes{\'u}s}",

year = "2011",

doi = "10.1109/CDC.2011.6161420",

language = "Ingl{\'e}s",

isbn = "9781612848006",

series = "Proceedings of the IEEE Conference on Decision and Control",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "8267--8272",

booktitle = "2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011",

address = "Estados Unidos",

note = "2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 ; Conference date: 12-12-2011 Through 15-12-2011",

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Tovar, JC, Yu, W, Ortiz, F, Mariaca, CR & Rubio, JDJ 2011, Modeling via on-line clustering and fuzzy support vector machines for nonlinear system. in 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011., 6161420, Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers Inc., pp. 8267-8272, 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011, Orlando, FL, United States, 12/12/11. https://doi.org/10.1109/CDC.2011.6161420

Modeling via on-line clustering and fuzzy support vector machines for nonlinear system. / Tovar, Julio César; Yu, Wen; Ortiz, Floriberto et al.
2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011. Institute of Electrical and Electronics Engineers Inc., 2011. p. 8267-8272 6161420 (Proceedings of the IEEE Conference on Decision and Control).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Modeling via on-line clustering and fuzzy support vector machines for nonlinear system

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AU - Mariaca, Carlos Román

AU - Rubio, José De Jesús

PY - 2011

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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.

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M3 - Contribución a la conferencia

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SN - 9781612848006

T3 - Proceedings of the IEEE Conference on Decision and Control

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T2 - 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011

Y2 - 12 December 2011 through 15 December 2011

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Tovar JC, Yu W, Ortiz F, Mariaca CR, Rubio JDJ. Modeling via on-line clustering and fuzzy support vector machines for nonlinear system. In 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011. Institute of Electrical and Electronics Engineers Inc. 2011. p. 8267-8272. 6161420. (Proceedings of the IEEE Conference on Decision and Control). doi: 10.1109/CDC.2011.6161420

Modeling via on-line clustering and fuzzy support vector machines for nonlinear system

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