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Erschienen in:
The Essentials of Model Predictive Control Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

Stochastic Model Predictive Control

verfasst von : Ali Mesbah, Ilya V. Kolmanovsky, Stefano Di Cairano

Erschienen in: Handbook of Model Predictive Control

Verlag: Springer International Publishing

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Abstract

Stochastic Model Predictive Control (SMPC) accounts for model uncertainties and disturbances based on their probabilistic description. This chapter considers several formulations and solutions of SMPC problems and discusses some examples and applications in this diverse, complex, and growing field.

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Vorheriges Kapitel Set-Valued and Lyapunov Methods for MPC
Nächstes Kapitel Moving Horizon Estimation
Fußnoten
1
For notational convenience, the control and prediction horizons are considered to be identical.
 
2
Hereafter we use the common notation in predictive control to differentiate prediction time instances t + k from time t at which predictions are made.
 
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Metadaten
Titel
Stochastic Model Predictive Control
verfasst von
Ali Mesbah
Ilya V. Kolmanovsky
Stefano Di Cairano
Copyright-Jahr
2019
Buch
Handbook of Model Predictive Control

Print ISBN: 978-3-319-77488-6

Electronic ISBN: 978-3-319-77489-3

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-319-77489-3_4

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