Constrained parameter estimation in fuzzy modeling

J. Abonyi, R. Babuska, M. Setnes, H. B. Verbruggen, F. Szeifert

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

This paper presents an algorithm for incorporating of a priori knowledge into data-driven identification for dynamic fuzzy models of the Takagi-Sugeno type. Knowledge about the modeled process such as its stability, minimal or maximal static gain, or the settling time of its step response can be translated into inequality constraints on the consequent parameters. By using input-output data, optimal parameter values are then found by means of quadratic programming. The proposed approach was successfully applied to the identification of a laboratory liquid level process.

Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
PublisherIEEE
Volume2
Publication statusPublished - 1999
EventProceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99 - Seoul, South Korea
Duration: Aug 22 1999Aug 25 1999

Other

OtherProceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99
CitySeoul, South Korea
Period8/22/998/25/99

Fingerprint

Step response
Quadratic programming
Parameter estimation
Identification (control systems)
Liquids

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Software
  • Safety, Risk, Reliability and Quality

Cite this

Abonyi, J., Babuska, R., Setnes, M., Verbruggen, H. B., & Szeifert, F. (1999). Constrained parameter estimation in fuzzy modeling. In IEEE International Conference on Fuzzy Systems (Vol. 2). IEEE.

Constrained parameter estimation in fuzzy modeling. / Abonyi, J.; Babuska, R.; Setnes, M.; Verbruggen, H. B.; Szeifert, F.

IEEE International Conference on Fuzzy Systems. Vol. 2 IEEE, 1999.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abonyi, J, Babuska, R, Setnes, M, Verbruggen, HB & Szeifert, F 1999, Constrained parameter estimation in fuzzy modeling. in IEEE International Conference on Fuzzy Systems. vol. 2, IEEE, Proceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99, Seoul, South Korea, 8/22/99.
Abonyi J, Babuska R, Setnes M, Verbruggen HB, Szeifert F. Constrained parameter estimation in fuzzy modeling. In IEEE International Conference on Fuzzy Systems. Vol. 2. IEEE. 1999
Abonyi, J. ; Babuska, R. ; Setnes, M. ; Verbruggen, H. B. ; Szeifert, F. / Constrained parameter estimation in fuzzy modeling. IEEE International Conference on Fuzzy Systems. Vol. 2 IEEE, 1999.
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