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An adaptive fuzzy model-based controller

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Fuzzy Logic and Fuzzy Control (IJCAI 1991)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 833))

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Abstract

A method of identifying a process model from plant input-output data has been developed. The model is in the form of qualitative linguistic relationships which are represented and evaluated using fuzzy set theory[7]. This so-called fuzzy identification is used in the design of fuzzy model-based controllers. On-line identification is used to produce an adaptive fuzzy controller.

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References

  1. Graham, B.P.: Fuzzy identification and control. PhD. Thesis, University of Queensland, (1986).

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Authors and Affiliations

  1. Computer Aided Process Engineering Centre, Dept. of Chemical Engineering, The University of Queensland, 4072, Australia

    Bruce Graham & Robert Newell

Authors
  1. Bruce Graham
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  2. Robert Newell
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Editor information

Dimiter Driankov Peter W. Eklund Anca L. Ralescu

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© 1994 Springer-Verlag Berlin Heidelberg

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Graham, B., Newell, R. (1994). An adaptive fuzzy model-based controller. In: Driankov, D., Eklund, P.W., Ralescu, A.L. (eds) Fuzzy Logic and Fuzzy Control. IJCAI 1991. Lecture Notes in Computer Science, vol 833. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58279-7_19

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  • DOI: https://doi.org/10.1007/3-540-58279-7_19

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58279-3

  • Online ISBN: 978-3-540-48602-2

  • eBook Packages: Springer Book Archive

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