A tutorial review of economic model predictive control methods

•Methods for the design of economic model predictive control (EMPC) systems.•Discussion of closed-loop stability and performance properties of various EMPC methods.•Demonstration of applicability and closed-loop properties of EMPC methods using a nonlinear chemical process example.•Broad literature...

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Published inJournal of process control Vol. 24; no. 8; pp. 1156 - 1178
Main Authors Ellis, Matthew, Durand, Helen, Christofides, Panagiotis D.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.08.2014
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Abstract •Methods for the design of economic model predictive control (EMPC) systems.•Discussion of closed-loop stability and performance properties of various EMPC methods.•Demonstration of applicability and closed-loop properties of EMPC methods using a nonlinear chemical process example.•Broad literature review and perspective with respect to current industrial practice. An overview of the recent results on economic model predictive control (EMPC) is presented and discussed addressing both closed-loop stability and performance for nonlinear systems. A chemical process example is used to provide a demonstration of a few of the various approaches. The paper concludes with a brief discussion of the current status of EMPC and future research directions to promote and stimulate further research potential in this area.
AbstractList •Methods for the design of economic model predictive control (EMPC) systems.•Discussion of closed-loop stability and performance properties of various EMPC methods.•Demonstration of applicability and closed-loop properties of EMPC methods using a nonlinear chemical process example.•Broad literature review and perspective with respect to current industrial practice. An overview of the recent results on economic model predictive control (EMPC) is presented and discussed addressing both closed-loop stability and performance for nonlinear systems. A chemical process example is used to provide a demonstration of a few of the various approaches. The paper concludes with a brief discussion of the current status of EMPC and future research directions to promote and stimulate further research potential in this area.
Author Durand, Helen
Ellis, Matthew
Christofides, Panagiotis D.
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  givenname: Matthew
  surname: Ellis
  fullname: Ellis, Matthew
  organization: Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095-1592, USA
– sequence: 2
  givenname: Helen
  surname: Durand
  fullname: Durand, Helen
  organization: Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095-1592, USA
– sequence: 3
  givenname: Panagiotis D.
  surname: Christofides
  fullname: Christofides, Panagiotis D.
  email: pdc@seas.ucla.edu
  organization: Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095-1592, USA
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Nonlinear systems
Process control
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  article-title: Distributed cooperative nonlinear economic MPC
– volume: 19
  start-page: 408
  year: 2013
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  article-title: Economic model predictive control with self-tuning terminal cost
  publication-title: Eur. J. Control
  doi: 10.1016/j.ejcon.2013.05.019
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Snippet •Methods for the design of economic model predictive control (EMPC) systems.•Discussion of closed-loop stability and performance properties of various EMPC...
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SubjectTerms Economic model predictive control
Nonlinear systems
Process control
Process economics
Process optimization
Title A tutorial review of economic model predictive control methods
URI https://dx.doi.org/10.1016/j.jprocont.2014.03.010
Volume 24
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