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Assessment and Future Directions of Nonlinear Model Predictive Control pp 229–238Cite as

A Nonlinear Model Predictive Control Framework as Free Software: Outlook and Progress Report

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Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 358))

Abstract

Model predictive control (MPC) has been a field with considerable research efforts and significant improvements in the algorithms. This has led to a fairly large number of successful industrial applications. However, many small and medium enterprises have not embraced MPC, even though their processes may potentially benefit from this control technology. We tackle one aspect of this issue with the development of a nonlinear model predictive control package NEWCON that will be released as free software. The work details the conceptual design, the control problem formulation and the implementation aspects of the code. A possible application is illustrated with an example of the level and reactor temperature control of a simulated CSTR. Finally, the article outlines future development directions of the NEWCON package.

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Author information

Authors and Affiliations

  1. GEPSI-PSE Group, Dep. de Engenharia Química, Universidade de Coimbra, Pinhal de Marrocos, Pólo II, 3030-290, Coimbra, Portugal

    Andrey Romanenko & Lino O. Santos

Authors
  1. Andrey Romanenko
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  2. Lino O. Santos
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Editor information

Editors and Affiliations

  1. Institute for Systems Theory and Automatic Control, University of Stuttgart, Pfaffenwaldring 9, 70550, Stuttgart, Germany

    Rolf Findeisen  & Frank Allgöwer  & 

  2. Chemical Engineering Department, Carnegie Mellon University, Pittsburgh, PA, 15213, USA

    Lorenz T. Biegler

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Romanenko, A., Santos, L.O. (2007). A Nonlinear Model Predictive Control Framework as Free Software: Outlook and Progress Report. In: Findeisen, R., Allgöwer, F., Biegler, L.T. (eds) Assessment and Future Directions of Nonlinear Model Predictive Control. Lecture Notes in Control and Information Sciences, vol 358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72699-9_18

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  • DOI: https://doi.org/10.1007/978-3-540-72699-9_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72698-2

  • Online ISBN: 978-3-540-72699-9

  • eBook Packages: EngineeringEngineering (R0)

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