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A fully stochastic fuzzy logic controller

  • Neural Nets Simulation, Emulation and Implementation
  • Conference paper
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Biological and Artificial Computation: From Neuroscience to Technology (IWANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1240))

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Abstract

Regarding hardware implementation, stochastic logic represents a good compromise between digital and analogue designs. This paper presents a hardware implementation of fuzzy logic controllers using stochastic logic. Unlike previous implementations, in this approach, all the operations in the fuzzy controller, that is, membership function generation, the inference process, and defuzzification, are carried out by means of a stochastic coding of the internal signals and simple logic gates. This produces a controller with reduced hardware complexity when compared to conventional digital implementations, while maintaining a good accuracy of the results.

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References

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Authors and Affiliations

  1. Dpto. de Ingeniería Electrónica, Escuela Superior de Ingenieros, Avda. Reina Mercedes, s/n, 41012, Sevilla, Spain

    F. Colodro, A. Torralba, R. González & L. G. Franquelo

Authors
  1. F. Colodro
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  2. A. Torralba
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  3. R. González
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  4. L. G. Franquelo
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Editor information

José Mira Roberto Moreno-Díaz Joan Cabestany

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© 1997 Springer-Verlag Berlin Heidelberg

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Colodro, F., Torralba, A., González, R., Franquelo, L.G. (1997). A fully stochastic fuzzy logic controller. In: Mira, J., Moreno-Díaz, R., Cabestany, J. (eds) Biological and Artificial Computation: From Neuroscience to Technology. IWANN 1997. Lecture Notes in Computer Science, vol 1240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032543

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  • DOI: https://doi.org/10.1007/BFb0032543

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63047-0

  • Online ISBN: 978-3-540-69074-0

  • eBook Packages: Springer Book Archive

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