Abstract
Stochastic model predictive control is a form of model predictive control that takes account of the stochastic nature of uncertain parameters and disturbances affecting the system model. This information may be used in the definition of performance indices, constraints, or both. We discuss cost functions, constraints, closed-loop properties, and implementation issues.
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Kouvaritakis, B., Cannon, M. (2020). 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_7-2
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DOI: https://doi.org/10.1007/978-1-4471-5102-9_7-2
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Publisher Name: Springer, London
Print ISBN: 978-1-4471-5102-9
Online ISBN: 978-1-4471-5102-9
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Chapter history
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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