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Proceedings of the Conference of the European Society for Fuzzy Logic and Technology

International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets

EUSFLAT 2017, IWIFSGN 2017: Advances in Fuzzy Logic and Technology 2017 pp 1–11Cite as

Fuzzy Model Based Predictive Control of Reaction Temperature in a Pilot Plant

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 642))

Abstract

A fuzzy model with reduced complexity has been developed to capture the nonlinear dynamics of a pilot plant in which the temperature of a reactor is controlled. The use of Functional Principal Component Analysis provides an ability to reduce the complexity of the model permitting the application of linear MPC for the nonlinear control problem.

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Author information

Authors and Affiliations

  1. Universidad Loyola Andalucía, Sevilla, Spain

    Juan Manuel Escaño

  2. Nimbus Centre, Cork Institute of Technology, Cork, Ireland

    Kritchai Witheephanich

  3. Universidad de Sevilla, Sevilla, Spain

    Carlos Bordons

Authors
  1. Juan Manuel Escaño
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  2. Kritchai Witheephanich
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  3. Carlos Bordons
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Corresponding author

Correspondence to Juan Manuel Escaño .

Editor information

Editors and Affiliations

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

    Janusz Kacprzyk

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

    Eulalia Szmidt

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

    Slawomir Zadrożny

  4. Department of Telecommunications and Information Processing, Bulgarian Academy of Sciences, Sofia, Bulgaria

    K. T. Atanassov

  5. WIT - Warsaw School of Information Technology, Warsaw, Poland

    Maciej Krawczak

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Escaño, J.M., Witheephanich, K., Bordons, C. (2018). Fuzzy Model Based Predictive Control of Reaction Temperature in a Pilot Plant. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 642. Springer, Cham. https://doi.org/10.1007/978-3-319-66824-6_1

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  • DOI: https://doi.org/10.1007/978-3-319-66824-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66823-9

  • Online ISBN: 978-3-319-66824-6

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