Trade-off between approximation accuracy and complexity for TS fuzzy models

P. Baranyi, P. Korondi, Ron J. Patton, Hideki Hashimoto

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

This paper proposes a transformation method that serves the trade-off between the modelling complexity and accuracy of multi-variable Takagi-Sugeno fuzzy inference operator-based modelling (TS fuzzy modelling). The relation between the number of fuzzy rules and the modelling accuracy is defined. The proposed transformation method is capable of finding the minimal number of fuzzy rules for a given accuracy of a given TS fuzzy model. A case study, focusing on a benchmark problem of fault diagnosis, developed in the framework of EC-founded Research Training Network DAMADICS, of an actuator in a sugar factory, is presented to provide feasibility of the proposed method.

Original languageEnglish
Pages (from-to)21-33
Number of pages13
JournalAsian Journal of Control
Volume6
Issue number1
Publication statusPublished - Mar 2004

Fingerprint

Fuzzy rules
Sugar factories
Fuzzy inference
Failure analysis
Actuators

Keywords

  • Trade-off between modelling complexity and accuracy
  • TS fuzzy model

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Control and Systems Engineering

Cite this

Trade-off between approximation accuracy and complexity for TS fuzzy models. / Baranyi, P.; Korondi, P.; Patton, Ron J.; Hashimoto, Hideki.

In: Asian Journal of Control, Vol. 6, No. 1, 03.2004, p. 21-33.

Research output: Contribution to journalArticle

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