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Intelligent Tuning of Fuzzy Controllers by Learning and Optimization

  • Rodolfo HaberEmail author
  • Raúl Mario del Toro
  • Jorge Godoy
  • Agustín Gajate
Chapter
Part of the Atlantis Computational Intelligence Systems book series (ATLANTISCIS, volume 9)

Abstract

Fuzzy Logic Control (FLC) emerged as one of the most outstanding control techniques in the middle of 80s. The great amount of literature on FLC that has appeared is the main evidence of the increasing importance that fuzzy controllers have been given in the control system design field.

Keywords

Membership Function Performance Index Fuzzy Control Fuzzy Controller Computer Numerical Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was supported by the Ministry of Economy and Competitiveness through its DPI2012-35504 CONMICRO research project and the European project 295372 DEMANES. The authors wish to thank the reviewers and the book editors for their useful suggestions. We also gratefully acknowledge the collaboration of Antony Price in the preparation of this paper. J. Godoy wants to especially thank the JAE program (Spanish National Research Council—CSIC) for its support in the development of this work.

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Copyright information

© Atlantis Press and the authors 2014

Authors and Affiliations

  • Rodolfo Haber
    • 1
    Email author
  • Raúl Mario del Toro
    • 1
  • Jorge Godoy
    • 1
  • Agustín Gajate
    • 1
  1. 1.Center for Automation and RoboticsConsejo Superior de Investigaciones Científicas—Universidad Politécnica de Madrid (CSIC—UPM)MadridSpain

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