Mean-Field-Type Model Predictive Control (MFT-MPC): An Application to Water Distribution Networks

In this paper, we study and design a mean-field-type model predictive control (MFT-MPC), which is a class of risk-aware control considering within the cost functional not only the mean but also the variance of both the system states and control inputs. Thus, the MFT-MPC is tightly related to the mea...

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Bibliographic Details
Published in:IEEE access 2019-01, Vol.7, p.1-1
Main Authors: Barreiro-Gomez, J., Tembine, H.
Format: Article
Language:English
Subjects:
Control systems
large-scale systems
Mean-field-type model predictive control
mean-variance minimization
meanvariance minimization
Minimization
Optimization
Predictive control
Risk management
risk-aware model predictive control
Stochastic processes
Uncertainty
Water distribution
Water engineering
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Summary:In this paper, we study and design a mean-field-type model predictive control (MFT-MPC), which is a class of risk-aware control considering within the cost functional not only the mean but also the variance of both the system states and control inputs. Thus, the MFT-MPC is tightly related to the mean-variance paradigm involving risk minimization. We formally present the relationship between the MFT-MPC approach and the chance-constrained control techniques.We show a large-scale application over a distribution water network in order to illustrate the performance of the proposed stochastic optimizationbased control.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2940761