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Nominal Model-Predictive Control

Encyclopedia of Systems and Control

Abstract

Model-predictive control is a controller design method which synthesizes a sampled data feedback controller from the iterative solution of open-loop optimal control problems. We describe the basic functionality of MPC controllers, their properties regarding feasibility, stability and performance, and the assumptions needed in order to rigorously ensure these properties in a nominal setting.

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Bibliography

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Author information

Authors and Affiliations

  1. Mathematical Institute, University of Bayreuth, Bayreuth, Germany

    Lars Grüne

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  1. Lars Grüne
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Correspondence to Lars Grüne .

Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering, Boston University, Boston, Massachusetts, USA

    John Baillieul

  2. Automation and Control Solutions, Honeywell, Golden Valley, Minnesota, USA

    Tariq Samad

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© 2014 Springer-Verlag London

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Grüne, L. (2014). Nominal Model-Predictive Control. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_1-2

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  • DOI: https://doi.org/10.1007/978-1-4471-5102-9_1-2

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  • Publisher Name: Springer, London

  • Online ISBN: 978-1-4471-5102-9

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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Chapter history

  1. Latest

    Nominal Model-Predictive Control
    Published:
    05 August 2019

    DOI: https://doi.org/10.1007/978-1-4471-5102-9_1-3

  2. Nominal Model-Predictive Control
    Published:
    28 November 2014

    DOI: https://doi.org/10.1007/978-1-4471-5102-9_1-2

  3. Original

    Nominal Model-Predictive Control
    Published:
    05 March 2014

    DOI: https://doi.org/10.1007/978-1-4471-5102-9_1-1

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