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Implementation of a Parallel Fuzzy System in the FPGA Circuit

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Artificial Intelligence and Soft Computing (ICAISC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9692))

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Abstract

This paper describes an implementation of a fuzzy system. For this purpose, a dedicated architecture of a fuzzy logic controller system was elaborated in a FPGA circuit. This system has 3 independent inputs and 2 outputs and is composed of 4 internal blocks: fuzzification, inference, defuzzification and control. The fuzzy inference processes implemented are the techniques of a calculation of a only activated rules and an application of a parallel processing allows for very quick selection of only active rules from the whole rules base. The distribution and shapes of fuzzy sets allow to activate one or two fuzzy rules for one discrete (sharp) value of the input variable. Input and output linguistic variables and corresponding fuzzy sets were defined.

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Author information

Authors and Affiliations

  1. Department of Electronics and Computer Science, Koszalin University of Technology, Sniadeckich 2 Street, 75-453, Koszalin, Poland

    Marek Poplawski

Authors
  1. Marek Poplawski
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Corresponding author

Correspondence to Marek Poplawski .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Czestochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Czestochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Czestochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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© 2016 Springer International Publishing Switzerland

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Poplawski, M. (2016). Implementation of a Parallel Fuzzy System in the FPGA Circuit. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science(), vol 9692. Springer, Cham. https://doi.org/10.1007/978-3-319-39378-0_24

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  • DOI: https://doi.org/10.1007/978-3-319-39378-0_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39377-3

  • Online ISBN: 978-3-319-39378-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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