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Some Aspects of Evolutionary Designing Optimal Controllers

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Artificial Intelligence and Soft Computing (ICAISC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7895))

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Abstract

In this paper a new automatic method of control system design was presented. Our method is based on the evolutionary algorithm, which is used for selection of the controller structure as well as for parameters tuning. This is realized by means of testing different controller structures and elimination of spare elements, taking into account theirs impact on control quality factors. Presented method was tested with two control objects of different complexity.

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Authors and Affiliations

  1. Institute of Computational Intelligence, Czȩstochowa University of Technology, Poland

    Jacek Szczypta, Andrzej Przybył & Krzysztof Cpałka

Authors
  1. Jacek Szczypta
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  2. Andrzej Przybył
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  3. Krzysztof Cpałka
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski , Marcin Korytkowski  & Rafał Scherer ,  & 

  2. AGH University of Science and Technology, Michiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Department of Electrical Engineering and Computer Sciences, University of California, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

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Szczypta, J., Przybył, A., Cpałka, K. (2013). Some Aspects of Evolutionary Designing Optimal Controllers. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2013. Lecture Notes in Computer Science(), vol 7895. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38610-7_9

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  • DOI: https://doi.org/10.1007/978-3-642-38610-7_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38609-1

  • Online ISBN: 978-3-642-38610-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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