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Economic reliability-aware MPC-LPV based on chance-constraints programming for water networks *

Author
Karimi Pour, F.; Puig, V.; Cembrano, M.
Type of activity
Presentation of work at congresses
Name of edition
2020 European Control Conference
Date of publication
2020
Presentation's date
2020-05-14
Book of congress proceedings
Proceedings of the 2020 European Control Conference (ECC): Saint Petersburg, Russia, May 12-15, 2020
First page
1
Last page
8
DOI
10.23919/ECC51009.2020.9143825
Project funding
DEOCS: Monitorización, diagnostico y control tolerante a fallos de sistemas ciberfísicos con métodos basados en datos
Intelligent Supervision for the Predictive Maintenance of Industrial Systems
Safety and control of autonomous vehicles
Repository
http://hdl.handle.net/2117/340030 Open in new window
URL
https://ieeexplore.ieee.org/document/9143825 Open in new window
Abstract
This paper proposed an economic reliabilityaware model predictive control (MPC) for the management of drinking water transport networks (DWNs) that includes a new goal to increase the system and components reliability based on a finite horizon stochastic optimization problem with joint probabilistic (chance) constraints. The proposed approach is based on a single-layer economic optimization problem with dynamic constraints. The inclusion of components and system reliability in the MPC model usin...
Citation
Karimi Pour, F.; Puig, V.; Cembrano, M. Economic reliability-aware MPC-LPV based on chance-constraints programming for water networks *. A: European Control Conference. "Proceedings of the 2020 European Control Conference (ECC): Saint Petersburg, Russia, May 12-15, 2020". 2020, p. 1-8. ISBN 978-3-907144-02-2. DOI 10.23919/ECC51009.2020.9143825.
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

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