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International Conference on Computational Intelligence

Fuzzy Days 1997: Computational Intelligence Theory and Applications pp 554–555Cite as

A learning fuzzy system for predicting overshootings in process control

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1226))

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References

  1. Aström, K. J. and B. Wittenmark. Computer-Controlled Systems. Prentice-Hall, 1990.

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  2. Kuo, B.C. Automatic Control Systems. Prentice-Hall, 1995.

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  3. Isermann, R. Digitale Regelsysteme I. Springer-Verlag, 1988.

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  4. Zimmermann, H.J. Fuzzy Set Theory and its Applications. Kluwer Academic, 1991.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering & Computer Science, University of Siegen, Hölderlinstr. 3, D-57068, Siegen, Germany

    Bernd Freisleben

  2. OKA Spezialmaschinenfabrik GmbH & Co KG, Grenzallee 5, D-64297, Darmstadt, Germany

    Stephan Strelen

Authors
  1. Bernd Freisleben
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  2. Stephan Strelen
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Editor information

Bernd Reusch

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© 1997 Springer-Verlag Berlin Heidelberg

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Freisleben, B., Strelen, S. (1997). A learning fuzzy system for predicting overshootings in process control. In: Reusch, B. (eds) Computational Intelligence Theory and Applications. Fuzzy Days 1997. Lecture Notes in Computer Science, vol 1226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62868-1_155

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  • DOI: https://doi.org/10.1007/3-540-62868-1_155

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62868-2

  • Online ISBN: 978-3-540-69031-3

  • eBook Packages: Springer Book Archive

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