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Log-Domain Arithmetic for High-Speed Fuzzy Control on a Field-Programmable Gate Array

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Soft Computing: State of the Art Theory and Novel Applications

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 291))

Abstract

Defuzzification has long been a bottleneck for fast implementations of fuzzy logic controllers, due to the large number of computationally expensive multiplication and division operations that are required. In this paper, we report a high-speed fuzzy inferential system based on log-domain arithmetic, which only requires addition, subtraction and multiplexing operations. The system is implemented on a Xilinx Virtex-II FPGA with a processing speed of 67.6 MFLIPS and a maximum combinational path delay of 4.2 ns. A pipelined version of the controller is also implemented, which achieves a speed of 248.7 MFLIPS. Although a small approximation error is introduced, software simulation and hardware implementation on FPGA confirm high similarity of the outputs for typical and log-domain control surfaces and a number of second-order plants.

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Razib, A., Dick, S., Gaudet, V. (2013). Log-Domain Arithmetic for High-Speed Fuzzy Control on a Field-Programmable Gate Array. In: Yager, R., Abbasov, A., Reformat, M., Shahbazova, S. (eds) Soft Computing: State of the Art Theory and Novel Applications. Studies in Fuzziness and Soft Computing, vol 291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34922-5_19

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  • DOI: https://doi.org/10.1007/978-3-642-34922-5_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34921-8

  • Online ISBN: 978-3-642-34922-5

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