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Control en red basado en eventos: de lo centralizado a lo distribuido

  • María Guinaldo [1] Árbol académico ; José Sánchez [1] Árbol académico ; Sebastián Dormido [1] Árbol académico
    1. [1] Universidad Nacional de Educación a Distancia

      Universidad Nacional de Educación a Distancia

      Madrid, España

  • Localización: Revista iberoamericana de automática e informática industrial ( RIAI ), ISSN-e 1697-7920, Vol. 14, Nº. 1, 2017, págs. 16-30
  • Idioma: español
  • DOI: 10.1016/j.riai.2016.09.007
  • Títulos paralelos:
    • Event-based control for networked systems: From centralized to distributed approaches
  • Enlaces
  • Resumen
    • español

      Los sistemas de control en red (SCR) son aquellos en los que los diferentes elementos de un lazo de control (sensores, actuadores y controladores) se encuentran espacialmente distribuidos y la transmisión entre ellos tiene lugar a travón de informaciés de un canal de comunicación o red. La reducción de la cantidad de información transmitida juega un papel importante en el desempeño de estos sitemas, y reglas de comunicación no convencionales como el control basado en eventos, se han demostrado efectivas. En este artículo se revisan algunas de estas estrategias, centrándose en primer lugar en los SCR centralizados, para posteriormente estudiar esquemas de control distribuido, aplicados a sistemas de gran escala. Finalmente, algunos de los resultados teóricos se aplican al control de formaciones en un sistema de experimentación real.

    • English

      Networked control systems (NCSs) are spatially distributed systems in which sensors, actuators and controllers exchange information through a communication channel or network. The reduction in the amount of transmitted information has a relevant impact over the system's performance. In this regard, non-conventional communication rules, such as the event-based control, have been demonstrated to be effective. In this paper, some of these strategies are reviewed. We first focus on centralized NCSs, and then the distributed control for large-scale systems is studied. Finally, some of the results are applied to the formation control problem and implemented over an experimental setup.

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