Mean-Field-Type Model Predictive Control: An Application to Water Distribution Networks

被引：8

作者：

Barreiro-Gomez, Julian ^{[1
]}

Tembine, Hamidou ^{[1
]}

机构：

[1] New York Univ Abu Dhabi, Learning & Game Theory Lab, Abu Dhabi, U Arab Emirates

来源：

IEEE ACCESS | 2019年 / 7卷

关键词：

Optimization; Predictive control; Stochastic processes; Control systems; Minimization; Risk management; Uncertainty; Mean-field-type model predictive control; risk-aware model predictive control; mean-variance minimization; large-scale systems; STOCHASTIC DIFFERENTIAL-GAMES;

D O I：

10.1109/ACCESS.2019.2940761

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：135332 / 135339

页数：8

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