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A Fuzzy Controller and Its Realization

  • Antonio di Nola
  • Salvatore Sessa
  • Witold Pedrycz
  • Elie Sanchez
Chapter
Part of the Theory and Decision Library book series (TDLD, volume 3)

Abstract

The schemes of inference, introduced in Sec.2, are used in Sec.3 to discuss the special case of an expert system oriented towards control of an industrial process consisting of a steam engine and a boiler. We consider here only max-min fuzzy equations and α-fuzzy equations (cfr. Ch.6) defined on finite sets.

Keywords

Membership Function Heat Input Inference Rule Fuzzy Control Fuzzy Controller 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    E. Czogala, S. Gottwald and W. Pedrycz, Aspects for the evaluation of decision situations, in: Fuzzy Information and Decision Processes ( M.M. Gupta and E. Sanchez, Eds.), North-Holland, Amsterdam (1982), pp. 41–49.Google Scholar
  2. [2]
    S. Gottwald, Criteria for non-interactivity of fuzzy logic controller rules, BUSEFAL 16 (1983), 69–79.zbMATHGoogle Scholar
  3. [3]
    L.P. Holmblad and J.J. Ostergaard, Control of a cement kiln by fuzzy logic, in: Fuzzy Information and Decision Processes ( M.M. Gupta and E.Sanchez, Eds.), North-Holland, Amsterdam (1982), pp. 389–399.Google Scholar
  4. [4]
    W.J.M. Kickert, Fuzzy Theories on Decision-Making, M. Nijhoff, Leiden, 1978.Google Scholar
  5. [5]
    W.J.M. Kickert and H.R. Van Nauta Lemke, Application of a fuzzy controller in a warm water plant, Automatica 12 (1976), 301–308.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1989

Authors and Affiliations

  • Antonio di Nola
    • 1
  • Salvatore Sessa
    • 1
  • Witold Pedrycz
    • 2
  • Elie Sanchez
    • 3
  1. 1.Facoltà di ArchitetturaUniversità di NapoliNapoliItaly
  2. 2.Department of Electrical EngineeringWinnipegCanada
  3. 3.Faculté de MédecineUniversité Aix-Marseille IIMarseilleFrance

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