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Efficient MPC Algorithms Based on Fuzzy Wiener Models and Advanced Methods of Prediction Generation

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Artificial Intelligence and Soft Computing (ICAISC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7267))

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Abstract

Efficient Model Predictive Control (MPC) algorithms based on fuzzy Wiener models with advanced methods of prediction are proposed in the paper. The methods of prediction use values of future control changes which were derived by the MPC algorithm in the last iteration. Such an approach results in excellent control performance offered by the proposed algorithms. Moreover, they are formulated as numerically efficient quadratic optimization problems. Advantages of the proposed fuzzy MPC algorithms are demonstrated in the control systems of a nonlinear plant.

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Author information

Authors and Affiliations

  1. Institute of Control and Computation Engineering, Warsaw University of Technology, ul. Nowowiejska 15/19, 00–665, Warszawa, Poland

    Piotr M. Marusak

Authors
  1. Piotr M. Marusak
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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, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

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

    Lotfi A. Zadeh

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

    Jacek M. Zurada

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© 2012 Springer-Verlag Berlin Heidelberg

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Marusak, P.M. (2012). Efficient MPC Algorithms Based on Fuzzy Wiener Models and Advanced Methods of Prediction Generation. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2012. Lecture Notes in Computer Science(), vol 7267. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29347-4_34

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  • DOI: https://doi.org/10.1007/978-3-642-29347-4_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29346-7

  • Online ISBN: 978-3-642-29347-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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