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Evolution of Fuzzy Controllers and Applications

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Book cover Advances in Evolutionary Computing for System Design

Part of the book series: Studies in Computational Intelligence ((SCI,volume 66))

The present chapter deals with the issues related to the evolution of optimal fuzzy logic controllers (FLC) by proper tuning of its knowledge base (KB), using different tools, such as least-square techniques, genetic algorithms, backpropagation (steepest descent) algorithm, ant-colony optimization, reinforcement learning, Tabu search, Taguchi method and simulated annealing. The selection of a particular tool for the evolution of the FLC, generally depends on the application. Some of the applications have also been included in this chapter.

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Author information

Authors and Affiliations

  1. KES Centre, University of South Australia, Adelaide, Mawson Lakes Campus, 5095, South Australia, Australia

    Dilip Kumar Pratihar

  2. Soft Computing Lab. Department of Mechanical Engineering, Indian Institute of Technology, 721 302, Kharagpur, India

    Nirmal Baran Hui

Authors
  1. Dilip Kumar Pratihar
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  2. Nirmal Baran Hui
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Editor information

Editors and Affiliations

  1. University of South Australia, Adelaide, Mawson Lakes Campus, 5095, South Australia, Australia

    Lakhmi C. Jain

  2. Computing Laboratory, Wolfson Building Parks Road, OX1 3QD, Oxford, England

    Vasile Palade

  3. National University of Singapore, Block E4-06-08, 4 Engineering Drive 3, 117576, Singapore

    Dipti Srinivasan

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© 2007 Springer-Verlag Berlin Heidelberg

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Pratihar, D.K., Hui, N.B. (2007). Evolution of Fuzzy Controllers and Applications. In: Jain, L.C., Palade, V., Srinivasan, D. (eds) Advances in Evolutionary Computing for System Design. Studies in Computational Intelligence, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72377-6_3

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  • DOI: https://doi.org/10.1007/978-3-540-72377-6_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72376-9

  • Online ISBN: 978-3-540-72377-6

  • eBook Packages: EngineeringEngineering (R0)

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