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Advanced, Contemporary Control pp 1470–1482Cite as

Robust Economic Model Predictive Control of Drinking Water Transport Networks Using Zonotopes

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1196))

Abstract

A robust economic Model Predictive Control (EMPC) approach is presented in this paper for the control of a Drinking Water Network (DWN) albeit the presence of uncertainties in the forecasted demands required for the predictive control design. The uncertain forecasted demand on the nominal MPC has the possibility of rendering the optimization process infeasible or degrade the controller performance. In this paper, the uncertainty on demand is considered unknown but bounded in a zonotopic set. Based on this uncertainty description, a robust MPC is formulated to ensure robust constraint satisfaction, performance and stability of the MPC for DWN to meet user requirements whilst ensuring lower operational cost for water utility operators.

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Author information

Authors and Affiliations

  1. Advanced Control Systems Group, Technical University of Catalonia (UPC), Rambla Sant Nebridi 22, 08222, Terrassa, Spain

    Khoury Boutrous, Fatiha Nejjari & Vicenç Puig

Authors
  1. Khoury Boutrous
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  2. Fatiha Nejjari
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  3. Vicenç Puig
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Corresponding author

Correspondence to Khoury Boutrous .

Editor information

Editors and Affiliations

  1. Institute of Automatic Control, Lodz University of Technology, Lodz, Poland

    Andrzej Bartoszewicz

  2. Institute of Automatic Control, Lodz University of Technology, Lodz, Poland

    Jacek Kabziński

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

    Janusz Kacprzyk

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Boutrous, K., Nejjari, F., Puig, V. (2020). Robust Economic Model Predictive Control of Drinking Water Transport Networks Using Zonotopes. In: Bartoszewicz, A., Kabziński, J., Kacprzyk, J. (eds) Advanced, Contemporary Control. Advances in Intelligent Systems and Computing, vol 1196. Springer, Cham. https://doi.org/10.1007/978-3-030-50936-1_122

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