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Partitioning for large-scale systems: a sequential distributed MPC design

Autor
Barreiro-Gómez, J.; Ocampo-Martinez, C.A.; Quijano, N.
Tipus d'activitat
Article en revista
Revista
IFAC-PapersOnLine
Data de publicació
2017-07-01
Volum
50
Número
1
Pàgina inicial
8838
Pàgina final
8843
DOI
https://doi.org/10.1016/j.ifacol.2017.08.1539 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S2405896317321250?via%3Dihub Obrir en finestra nova
Resum
Large-scale systems involve a high number of variables making challenging the design of controllers because of information availability and computational burden issues. Normally, the measurement of all the states in a large-scale system implies to have a big communication network, which might be quite expensive. On the other hand, the treatment of large amount of data to compute the appropriate control inputs implies high computational costs. An alternative to mitigate the aforementioned issues ...
Paraules clau
Partitioning, distributed model predictive control, large-scale systems
Grup de recerca
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Sistemes Avançats de Control

Participants