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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© 2013 Springer-Verlag London
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Grüne, L. (2013). 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_1-1
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DOI: https://doi.org/10.1007/978-1-4471-5102-9_1-1
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Publisher Name: Springer, London
Online ISBN: 978-1-4471-5102-9
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Latest
Nominal Model-Predictive Control- Published:
- 05 August 2019
DOI: https://doi.org/10.1007/978-1-4471-5102-9_1-3
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Nominal Model-Predictive Control
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- 28 November 2014
DOI: https://doi.org/10.1007/978-1-4471-5102-9_1-2
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Original
Nominal Model-Predictive Control- Published:
- 05 March 2014
DOI: https://doi.org/10.1007/978-1-4471-5102-9_1-1