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“Model Predictive Control with Integral Action: A simple MPC algorithm”

Authors: David Di Ruscio,
Affiliation: Telemark University College
Reference: 2013, Vol 34, No 3, pp. 119-129.

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Keywords: MIMO systems, model predictive control, optimal controller, integral action, constraints

Abstract: A simple Model Predictive Control (MPC) algorithm of velocity (incremental) form is presented.The proposed MPC controller is insensitive to slowly varying system and measurement trends and thereforehas integral action. The presented algorithm is illustrated by both simulations and practical experimentson a quadruple tank MIMO process.

PDF PDF (809 Kb)        DOI: 10.4173/mic.2013.3.2

DOI forward links to this article:
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  [2] Guibing Zhu, Jialu Du and Yongchao Liu (2016), doi:10.1109/ICIST.2016.7483430
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  [7] Michael Schubert, Kshitij Girigoudar and Rik W. De Doncker (2017), doi:10.1109/PEDS.2017.8289146
  [8] Vinayambika S Bhat, I. Thirunavukkarasu, S. Shanmuga Priya, C Shreesha, P. Tandon, W. Wisnoe and M.Z. bin Abdullah (2018), doi:10.1051/matecconf/201815306010
  [9] Emma D. Wilson, Quentin Clairon, Robin Henderson and C. James Taylor (2018), doi:10.1016/j.arcontrol.2018.05.001
  [10] Monika Rybczak (2018), doi:10.1080/00051144.2018.1499427
  [11] Eduardo Camacho, Antonio Gallego, Adolfo Sanchez and Manuel Berenguel (2018), doi:10.3390/en12010003
  [12] A.J. Sánchez, A.J. Gallego, J.M. Escaño and E.F. Camacho (2019), doi:10.1016/j.solener.2019.03.094

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  title={{Model Predictive Control with Integral Action: A simple MPC algorithm}},
  author={Di Ruscio, David},
  journal={Modeling, Identification and Control},
  publisher={Norwegian Society of Automatic Control}


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