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International Conference on Theory and Applications of Fuzzy Systems and Soft Computing

ICAFS 2018: 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018 pp 309–314Cite as

Teaching Fuzzy Control Using an Embedded Processor

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 896))

Abstract

Fuzzy control has become one of the most popular topics in automatic control engineering. The classical and intelligent fuzzy based control theory is taught in most undergraduate and postgraduate control engineering courses. In addition, the theory is backed-up by real control experiments carried out in the laboratories. One of the problems with real laboratory experiments is that they are usually very expensive and are beyond the budgets of many institutions. This paper describes the design of a low-cost fuzzy temperature control experiment using a microcontroller as an embedded processor.

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References

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Author information

Authors and Affiliations

  1. Near East University, Nicosia, Mersin 10, Turkey

    Dogan Ibrahim

Authors
  1. Dogan Ibrahim
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Corresponding author

Correspondence to Dogan Ibrahim .

Editor information

Editors and Affiliations

  1. Joint MBA Program, Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Rafik A. Aliev

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  4. Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA

    Mo. Jamshidi

  5. Department of Mechatronics, Near East University, Nicosia TRNC, Turkey

    Fahreddin M. Sadikoglu

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Cite this paper

Ibrahim, D. (2019). Teaching Fuzzy Control Using an Embedded Processor. In: Aliev, R., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Sadikoglu, F. (eds) 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018. ICAFS 2018. Advances in Intelligent Systems and Computing, vol 896. Springer, Cham. https://doi.org/10.1007/978-3-030-04164-9_42

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