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Dynamical tuning for MPC using population games: a water supply network application

Autor
Barreiro, J.; Ocampo-Martinez, C.A.; Quijano, N.
Tipus d'activitat
Article en revista
Revista
ISA transactions
Data de publicació
2017-07-01
Volum
69
Pàgina inicial
175
Pàgina final
186
DOI
https://doi.org/10.1016/j.isatra.2017.03.027 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/108959 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S0019057816303275?via%3Dihub Obrir en finestra nova
Resum
Model predictive control (MPC) is a suitable strategy for the control of large-scale systems that have multiple design requirements, e.g., multiple physical and operational constraints. Besides, an MPC controller is able to deal with multiple control objectives considering them within the cost function, which implies to determine a proper prioritization for each of the objectives. Furthermore, when the system has time-varying parameters and/or disturbances, the appropriate prioritization might v...
Citació
Barreiro, J., Ocampo-Martinez, C.A., Quijano, N. Dynamical tuning for MPC using population games: a water supply network application. "ISA transactions", 1 Juliol 2017, vol. 69, p. 175-186.
Paraules clau
Dynamical tuning, Game theory, Large-scale systems, Model predictive control, Water supply networks
Grup de recerca
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Sistemes Avançats de Control

Participants