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The Method of Hardware Implementation of Fuzzy Systems on FPGA

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Abstract

In this paper a method of implementation of fuzzy system on FPGA devices is presented. The method applies to a class of fuzzy systems which are functionally equivalent to a radial basis function networks. In the paper the example fuzzy system was implemented on the FPGA device with the use of the proposed method. The results confirm a high performance of the obtained fuzzy system. This was achieved at a reasonable consumption of the hardware resources of the FPGA.

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Acknowledgment

The project was financed by the National Science Centre (Poland) on the basis of the decision number DEC-2012/05/B/ST7/02138.

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Authors and Affiliations

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

    Andrzej Przybył

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Meng Joo Er

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  1. Andrzej Przybył
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Correspondence to Andrzej Przybył .

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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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Przybył, A., Er, M.J. (2016). The Method of Hardware Implementation of Fuzzy Systems on FPGA. 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_25

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