Journal of Process Control Paper Prize Winners up to 2026

2005 – Prague

• Survey
  Selecting nonlinear model structures for computer control
  R.K. Pearson (CH)
  Journal of Process Control, Vol. 13, Issue 1, pp. 1–26, 2003
  10.1016/S0959-1524(02)00022-7
• Theory/Methodology
  Detection of multiple oscillations in control loops
  N.F. Thornhill, B. Huang, H. Zhang (UK, CA)
  Journal of Process Control, Vol. 13, Issue 1, pp. 91–100, 2003
  10.1016/S0959-1524(02)00007-0
• Application
  Control of an industrial polymerization reactor using flatness
  N. Petit, P. Rouchon, J.-M. Boueilh, F. Guérin, P. Pinvidic (FR)
  Journal of Process Control, Vol. 12, Issue 5, pp. 659–665, 2002
  10.1016/S0959-1524(01)00049-X

2008 – Seoul

• Survey
  • First-principles and direct design approaches for the control of pharmaceutical crystallization
    M. Fujiwara, Z.K. Nagy, J.W. Chew, R.D. Braatz (US)
    Journal of Process Control, Vol. 15, Issue 5, pp. 493–504, 2005
    10.1016/j.jprocont.2004.08.003
  • Survey: Feedback control for optimal process operation
    S. Engell (DE)
    Journal of Process Control, Vol. 17, Issue 3, pp. 203–219, 2007
    10.1016/j.jprocont.2006.10.011
• Theory/Methodology
  Perspectives on the design and control of multiscale systems
  R.D. Braatz, R.C. Alkire, E. Seebauer, E. Rusli, R. Gunawan, T.O. Drews, X. Li, Y. He (US)
  Journal of Process Control, Vol. 16, Issue 3, pp. 193–204, 2006
  10.1016/j.jprocont.2005.06.001
• Application
  • Modelling and control of a fuel cell system and storage elements in transport applications
    S. Caux, J. Lachaize, M. Fadel, P. Schott, L. Nicod (FR)
    Journal of Process Control, Vol. 15, Issue 4, pp. 481–491, 2005
    10.1016/j.jprocont.2004.08.002
  • Optimal selection of soft sensor inputs for batch distillation columns using principal component analysis
    E. Zamprogna, M. Barolo, D.E. Seborg (UK, IT, US)
    Journal of Process Control, Vol. 15, Issue 1, pp. 39–52, 2005
    10.1016/j.jprocont.2004.04.006

2011 – Milan

• Survey
  Survey on iterative learning control, repetitive control, and run-to-run control
  Y. Wang, F. Gao, F.J. Doyle III (US)
  Journal of Process Control, Vol. 19, Issue 10, pp. 1589–1600, 2009
  10.1016/j.jprocont.2009.09.006
• Theory/Methodology
  Feedback control and optimization for the production of commercial fuels by blending
  M. Chèbre, Y. Creff, N. Petit (FR)
  Journal of Process Control, Vol. 20, Issue 4, pp. 441–451, 2010
  10.1016/j.jprocont.2010.01.008
• Application
  Integration of real-time optimization and model predictive control
  V. Adetola, M. Guay (CA)
  Journal of Process Control, Vol. 20, Issue 2, pp. 125–133, 2010
  10.1016/j.jprocont.2009.09.001

2014 – Cape Town

• Survey
  Not awarded for 2014
• Theory/Methodology
  Lyapunov stability of economically oriented NMPC for cyclic processes
  R. Huang, E. Harinath, L.T. Biegler (US)
  Journal of Process Control, Vol. 21, Issue 4, pp. 501–509, 2011
  10.1016/j.jprocont.2011.01.012
• Application
  Adaptive task-space metal strip-flatness control in cold multi-roll mill stands
  G. Pin, V. Francesconi, F.A. Cuzzola, T. Parisini (IT)
  Journal of Process Control, Vol. 23, Issue 2, pp. 108–119, 2013
  10.1016/j.jprocont.2012.08.008

2017 – Toulouse

• Survey
  Model predictive control using reduced order models: Guaranteed stability for constrained linear systems
  M. Löhning, M. Reble, J. Hasenauer, S. Yu, F. Allgöwer (DE, CN)
  Journal of Process Control, Vol. 24, Issue 11, pp. 1647–1659, 2014
  10.1016/j.jprocont.2014.07.006
• Theory/Methodology
  Optimization-based reduction of contour errors of heavy plates in hot rolling
  F. Schausberger, A. Steinboeck, A. Kugi (AT)
  Journal of Process Control, Vol. 47, pp. 150–160, 2016
  10.1016/j.jprocont.2016.09.010
• Application
  Sustainability and process control: A survey and perspective
  P. Daoutidis, M. Zachar, S.S. Jogwar (US, IN)
  Journal of Process Control, Vol. 44, pp. 184–206, 2016
  10.1016/j.jprocont.2016.06.002

2020 – Berlin

• Survey
  Set-membership nonlinear regression approach to parameter estimation
  N.D. Perić, R. Paulen, M.E. Villanueva, B. Chachuat (UK, SK, CN)
  Journal of Process Control, Vol. 70, pp. 80–95, 2018
  10.1016/j.jprocont.2018.04.002
• Theory/Methodology
  Model-based control of continuous emulsion co-polymerization in a lab-scale tubular reactor
  P. Joy, K. Rossow, F. Jung, H.-U. Moritz, W. Pauer, A. Mitsos, A. Mhamdi (DE)
  Journal of Process Control, Vol. 75, pp. 59–76, 2019
  10.1016/j.jprocont.2018.12.014
• Application
  An outlook on robust model predictive control algorithms: Reflections on performance and computational aspects
  M.B. Saltık, L. Özkan, J.H.A. Ludlage, S. Weiland, P.M.J. Van den Hof (NL)
  Journal of Process Control, Vol. 61, pp. 77–102, 2018
  10.1016/j.jprocont.2017.10.006

2023 – Yokohama

• Survey
  A survey and classification of incipient fault diagnosis approaches
  H. Safaeipour, M. Forouzanfar, A. Casavola (IR, IT)
  Journal of Process Control, Vol. 97, pp. 1–16, 2021
  10.1016/j.jprocont.2020.11.005
• Theory/Methodology
  Periodic optimal control of nonlinear constrained systems using economic model predictive control
  J. Köhler, M.A. Müller, F. Allgöwer (DE)
  Journal of Process Control, Vol. 92, pp. 185–201, 2020
  10.1016/j.jprocont.2020.06.004
• Application
  Data-driven modeling of product crystal size distribution and optimal input design for batch cooling crystallization processes
  J. Liu, T. Liu, J. Chen, H. Yue, F. Zhang (CN, TW, UK)
  Journal of Process Control, Vol. 96, pp. 1–14, 2020
  10.1016/j.jprocont.2020.10.003

2026 – Busan

• Survey
  Data Science and Model Predictive Control: A survey of recent advances on data-driven MPC algorithms
  M.M. Morato, M.S. Felix
  Journal of Process Control, Vol. 144, 103327, 2024
  10.1016/j.jprocont.2024.103327
• Theory/Methodology
  ECCBO: An inherently safe Bayesian optimization with embedded constraint control for real-time process optimization
  D. Krishnamoorthy
  Journal of Process Control, Vol. 152, 103467, 2025
  10.1016/j.jprocont.2025.103467
• Application
  Improved operation of a large-scale blast furnace using a hybrid dynamic model based optimizing control scheme
  P. Azadi, H. Elwan, R. Klock, S. Engell
  Journal of Process Control, Vol. 129, 103032, 2023
  https://doi.org/10.1016/j.jprocont.2023.103032

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