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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2012: Artificial Intelligence and Soft Computing pp 697–705Cite as

A New Method to Construct of Interpretable Models of Dynamic Systems

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7268))

Abstract

The paper presents a new method to create model of nonlinear dynamic systems which gives a real opportunity for the interpretation of accumulated knowledge. By combining methods of control theory with fuzzy logic rules a good accuracy of the model can be achieved with use of a small number of fuzzy rules.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Czestochowa University of Technology, Poland

    Andrzej Przybył & Krzysztof Cpałka

Authors
  1. Andrzej Przybył
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  2. Krzysztof Cpałka
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski , Marcin Korytkowski  & Rafał Scherer ,  & 

  2. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Department of Electrical Engineering and Computer Sciences, Computer Science Division, University of California Berkeley, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

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© 2012 Springer-Verlag Berlin Heidelberg

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Przybył, A., Cpałka, K. (2012). A New Method to Construct of Interpretable Models of Dynamic Systems. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2012. Lecture Notes in Computer Science(), vol 7268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29350-4_82

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  • DOI: https://doi.org/10.1007/978-3-642-29350-4_82

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29349-8

  • Online ISBN: 978-3-642-29350-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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