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Hybrid State Variables - Fuzzy Logic Modelling of Nonlinear Objects

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Artificial Intelligence and Soft Computing (ICAISC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7894))

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Abstract

In this paper a new hybrid method for modelling of nonlinear dynamic systems is proposed. It uses fuzzy logic system together with state variables technique to obtain the local linear approximation performed continuously for successive operating points. This approach provides good accuracy and allows the use of very convenient and well-known method from linear control theory to analyse the obtained model.

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Authors and Affiliations

  1. Institute of Computational Intelligence, Częstochowa University of Technology, Poland

    Łukasz Bartczuk, Andrzej Przybył & Piotr Dziwiński

Authors
  1. Łukasz Bartczuk
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  2. Andrzej Przybył
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  3. Piotr Dziwiński
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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, Michiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

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

    Lotfi A. Zadeh

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

    Jacek M. Zurada

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Bartczuk, Ł., Przybył, A., Dziwiński, P. (2013). Hybrid State Variables - Fuzzy Logic Modelling of Nonlinear Objects. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2013. Lecture Notes in Computer Science(), vol 7894. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38658-9_21

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  • DOI: https://doi.org/10.1007/978-3-642-38658-9_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38657-2

  • Online ISBN: 978-3-642-38658-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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