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Stochastic model predictive control approaches applied to drinking water networks

Autor
Grosso, J.; Velarde, P.; Ocampo-Martinez, C.A.; Maestre, J.; Puig, V.
Tipus d'activitat
Article en revista
Revista
Optimal control applications and methods
Data de publicació
2017-07-01
Volum
38
Número
4
Pàgina inicial
541
Pàgina final
558
DOI
https://doi.org/10.1002/oca.2269 Obrir en finestra nova
Projecte finançador
Operación Eficiente de Infraestructuras Críticas (ECOCIS)
Repositori
http://hdl.handle.net/2117/108961 Obrir en finestra nova
URL
http://onlinelibrary.wiley.com/doi/10.1002/oca.2269/abstract;jsessionid=2F2EEC0A4D9AD9A748108A45BB28E9EE.f03t03 Obrir en finestra nova
Resum
Control of drinking water networks is an arduous task, given their size and the presence of uncertainty in water demand. It is necessary to impose different constraints for ensuring a reliable water supply in the most economic and safe ways. To cope with uncertainty in system disturbances due to the stochastic water demand/consumption and optimize operational costs, this paper proposes three stochastic model predictive control (MPC) approaches, namely, chance-constrained MPC, tree-based MPC, and...
Citació
Grosso, J., Velarde, P., Ocampo-Martinez, C.A., Maestre, J., Puig, V. Stochastic model predictive control approaches applied to drinking water networks. "Optimal control applications and methods", 1 Juliol 2017, vol. 38, núm. 4, p. 541-558.
Paraules clau
management of water systems, model predictive control, stochastic programming, system disturbances
Grup de recerca
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Sistemes Avançats de Control

Participants