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Hardware Implementation of Embedded Fuzzy Controllers on FPGAs and ASICs

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Fuzzy Modeling and Control: Theory and Applications

Part of the book series: Atlantis Computational Intelligence Systems ((ATLANTISCIS,volume 9))

Abstract

Fuzzy logic was introduced by Zadeh 1965 as a tool able to describe the behavior of complex systems by means of simple rules expressed in natural language (Zadeh , 1965, , 1973). Among the many applications of fuzzy logic, fuzzy control has been one of the fields where fuzzy techniques have provided a greater amount of successful results.

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Acknowledgments

This work was partially funded by Spanish Ministry of Economy and Competitiveness under the Project TEC2011-24319 and by Junta de Andalucía under the Project P08-TIC-03674 (both with support from FEDER). The authors would like to thank all the people who have contributed to the development of Xfuzzy. In special to Jesús Izquierdo and Lidia L. Delgado, for their contribution to the versions of xfsg and xfvhdl used in this work.

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Authors and Affiliations

  1. Instituto de Microelectrónica de Sevilla, IMSE-CNM, CSIC / Universidad de Sevilla, Sevilla, Sapin

    Santiago Sánchez-Solano

  2. Department of Computer Architecture, Universidad de Córdoba, Córdoba, Spain

    María Brox

Authors
  1. Santiago Sánchez-Solano
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  2. María Brox
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Correspondence to Santiago Sánchez-Solano .

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Editors and Affiliations

  1. Center for Automation and Robotics, Universidad Politécnica de Madrid— Consejo Superior de Investigaciones Científicas (UPM—CSIC), Madrid, Madrid, Spain

    Fernando Matía

  2. DPolytechnic School of Engineering, Universidad de La Laguna, La Laguna, Sta. Cruz Tenerife, Spain

    G. Nicolás Marichal

  3. Universidad de La RiojaDepartamento de Ingeniería Eléctrica, Universidad de La Rioja, La Rioja, Navarra, Spain

    Emilio Jiménez

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Sánchez-Solano, S., Brox, M. (2014). Hardware Implementation of Embedded Fuzzy Controllers on FPGAs and ASICs. In: Matía, F., Marichal, G., Jiménez, E. (eds) Fuzzy Modeling and Control: Theory and Applications. Atlantis Computational Intelligence Systems, vol 9. Atlantis Press, Paris. https://doi.org/10.2991/978-94-6239-082-9_13

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  • DOI: https://doi.org/10.2991/978-94-6239-082-9_13

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