Carregant...
Carregant...

Vés al contingut (premeu Retorn)

The role of population games and evolutionary dynamics in distributed control systems: the advantages of evolutionary game theory

Autor
Quijano, N.; Ocampo-Martinez, C.A.; Barreiro, J.; Obando, G.; Pantoja, A.; Mojica-Nava, E.
Tipus d'activitat
Article en revista
Revista
IEEE control systems magazine
Data de publicació
2017-02-01
Volum
37
Pàgina inicial
70
Pàgina final
97
DOI
https://doi.org/10.1109/MCS.2016.2621479 Obrir en finestra nova
Projecte finançador
Operación Eficiente de Infraestructuras Críticas (ECOCIS)
Repositori
http://hdl.handle.net/2117/108516 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/document/7823106/ Obrir en finestra nova
Resum
Recently, there has been an increasing interest in the control community in studying large-scale distributed systems. Several techniques have been developed to address the main challenges for these systems, such as the amount of information needed to guarantee the proper operation of the system, the economic costs associated with the required communication structure, and the high computational burden of solving for the control inputs for largescale systems. © 20xx IEEE. Personal use of this mat...
Citació
Quijano, N., Ocampo-Martinez, C.A., Barreiro, J., Obando, G., Pantoja, A., Mojica-Nava, E. The role of population games and evolutionary dynamics in distributed control systems: the advantages of evolutionary game theory. "IEEE control systems magazine", 1 Febrer 2017, vol. 37, p. 70-97.
Paraules clau
Dynamic scheduling, Economics, Game theory, Heuristic algorithms, Large scale systems, Optimization, Statistics
Grup de recerca
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Sistemes Avançats de Control

Participants

  • Quijano Silva, Nicanor  (autor)
  • Ocampo Martinez, Carlos A.  (autor)
  • Barreiro Gomez, Julian  (autor)
  • Obando, Germán  (autor)
  • Pantoja, Andres  (autor)
  • Mojica Nava, Eduardo  (autor)