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Fuzzy Control

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Springer Handbook of Computational Intelligence

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Abstract

Fuzzy control is by far the most successful field of applied fuzzy logic. This chapter discusses human-inspired concepts of fuzzy control. After a short introduction to classical control engineering, three types of very well known fuzzy control concepts are presented: Mamdani-Assilian, Takagi-Sugeno and fuzzy logic-based controllers. Then three real-world fuzzy control applications are discussed. The chapter ends with a conclusion and a future perspective.

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Abbreviations

COA:

center of area

COG:

center of gravity

DLR:

German Aerospace Center

FCM:

fuzzy c-means algorithm

MOM:

mean of maxima

PID:

proportional-integral-derivative

RAM:

random access memory

RBF:

radial basis function

ROM:

read only memory

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Author information

Authors and Affiliations

  1. Faculty of Computer Science, University of Magdeburg, Universitätsplatz 2, 39114, Magdeburg, Germany

    Christian Moewes & Rudolf Kruse

  2. Inst. Applied Computer Science, Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany

    Ralf Mikut

Authors
  1. Christian Moewes
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  2. Ralf Mikut
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  3. Rudolf Kruse
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Corresponding author

Correspondence to Christian Moewes .

Editor information

Editors and Affiliations

  1. Systems Research Inst., Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

  2. Dep. Electrical and Computer Engineering, University of Alberta, 116 Street 9107, T6J 2V4, Edmonton, Alberta, Canada

    Witold Pedrycz

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Moewes, C., Mikut, R., Kruse, R. (2015). Fuzzy Control. In: Kacprzyk, J., Pedrycz, W. (eds) Springer Handbook of Computational Intelligence. Springer Handbooks. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43505-2_17

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  • DOI: https://doi.org/10.1007/978-3-662-43505-2_17

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