Abstract
Model Predictive Control (MPC) is a control strategy that has been used successfully in numerous and diverse application areas. The aim of the present entry is to discuss how the basic ideas of MPC can be extended to problems involving random model uncertainty with known probability distribution. We discuss cost indices, constraints, closed-loop properties, and implementation issues.
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© 2014 Springer-Verlag London
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Kouvaritakis, B., Cannon, M. (2014). Stochastic 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_7-1
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DOI: https://doi.org/10.1007/978-1-4471-5102-9_7-1
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Publisher Name: Springer, London
Online ISBN: 978-1-4471-5102-9
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Latest
Stochastic Model Predictive Control- Published:
- 27 October 2019
DOI: https://doi.org/10.1007/978-1-4471-5102-9_7-2
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Original
Stochastic Model Predictive Control- Published:
- 06 March 2014
DOI: https://doi.org/10.1007/978-1-4471-5102-9_7-1