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Presentation Of A Fuzzy Control Training And Test System

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Progress in Systems Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 366))

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Abstract

Computational Intelligence (CI) based model approaches, realized by Fuzzy Control models (FC) or models with Artificial Neural Networks (NN), are used as alternative concepts to classical approaches. In university education or further training there are on the one hand models needed which represent the technical system transparent and easy cognizable and on the other hand a programming tool is required that supports an easy development process. That includes a tool to verify the results and tuning the system with graphic functions under real time conditions, special as a debug system and a trace function. The experiences with the Fuzzy Control Design Tool (FHFCE-Tool) and four technical models will be presented. The methodical and didactical objective in the utilization of these teaching models is to develop solution strategies in CI applications, for example Fuzzy Controller, special to analyse different algorithms of inference or defuzzyfication and to verify and tune those systems efficiently.

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References

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Author information

Authors and Affiliations

  1. Department of Automation and Computer Science, Harz University, Friedrichstrasse 57-59, 38855, Wernigerode, Germany

    K.-D. Kramer, T. Stolze & C. Blankenberg

  2. Institute of Automation and Informatics (IAI), Dornbergsweg 2, 38855, Wernigerode, Germany

    K.-D. Kramer, S. Braune & A. Söchting

Authors
  1. K.-D. Kramer
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  2. S. Braune
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  3. A. Söchting
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  4. T. Stolze
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  5. C. Blankenberg
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Corresponding author

Correspondence to K.-D. Kramer .

Editor information

Editors and Affiliations

  1. University of Nevada at Las Vegas, Las Vegas, Nevada, USA

    Henry Selvaraj

  2. Department of Electrical Engineering, Idaho State University, Pocatello, Idaho, USA

    Dawid Zydek

  3. University of Nevada at Las Vegas, Las Vegas, Nevada, USA

    Grzegorz Chmaj

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© 2015 Springer International Publishing Switzerland

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Kramer, KD., Braune, S., Söchting, A., Stolze, T., Blankenberg, C. (2015). Presentation Of A Fuzzy Control Training And Test System. In: Selvaraj, H., Zydek, D., Chmaj, G. (eds) Progress in Systems Engineering. Advances in Intelligent Systems and Computing, vol 366. Springer, Cham. https://doi.org/10.1007/978-3-319-08422-0_23

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  • DOI: https://doi.org/10.1007/978-3-319-08422-0_23

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08421-3

  • Online ISBN: 978-3-319-08422-0

  • eBook Packages: EngineeringEngineering (R0)

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