Mean-field-type model predictive control: An application to water distribution networks

Julian Barreiro-Gomez; Hamidou Tembine

doi:10.1109/ACCESS.2019.2940761

Mean-field-type model predictive control: An application to water distribution networks

Julian Barreiro-Gomez, Hamidou Tembine

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, we study and design a mean-field-type model predictive control, 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. We formally present the relationship between the proposed 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 optimization-based control.

Original language	English (US)
Article number	8835027
Pages (from-to)	135332-135339
Number of pages	8
Journal	IEEE Access
Volume	7
DOIs	https://doi.org/10.1109/ACCESS.2019.2940761
State	Published - 2019

Keywords

Large-scale systems
Mean-field-type model predictive control
Meanvariance minimization
Risk-aware model predictive control

ASJC Scopus subject areas

Computer Science(all)
Materials Science(all)
Engineering(all)

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10.1109/ACCESS.2019.2940761

Cite this

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title = "Mean-field-type model predictive control: An application to water distribution networks",

abstract = "In this paper, we study and design a mean-field-type model predictive control, 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. We formally present the relationship between the proposed 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 optimization-based control.",

keywords = "Large-scale systems, Mean-field-type model predictive control, Meanvariance minimization, Risk-aware model predictive control",

author = "Julian Barreiro-Gomez and Hamidou Tembine",

note = "Funding Information: This work was supported by the U.S. Air Force Office of Scientific Research under Grant FA9550-17-1-0259. Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2019",

doi = "10.1109/ACCESS.2019.2940761",

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AB - In this paper, we study and design a mean-field-type model predictive control, 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. We formally present the relationship between the proposed 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 optimization-based control.

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KW - Risk-aware model predictive control

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Mean-field-type model predictive control: An application to water distribution networks

Abstract

Keywords

ASJC Scopus subject areas

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