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

Nicanor Quijano; Carlos Ocampo-Martinez; Julian Barreiro-Gomez; Germán Obando; Andres Pantoja; Eduardo Mojica-Nava

doi:10.1109/MCS.2016.2621479

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

Nicanor Quijano
, Carlos Ocampo-Martinez
, Julian Barreiro-Gomez
, Germán Obando
, Andres Pantoja
, Eduardo Mojica-Nava

Producción científica: Contribución a revista › Artículo de Investigación › revisión exhaustiva

143 Citas (Scopus)

Resumen

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.

Idioma original	Inglés estadounidense
Número de artículo	7823106
Páginas (desde-hasta)	70-97
Número de páginas	28
Publicación	IEEE Control Systems
Volumen	37
N.º	1
DOI	https://doi.org/10.1109/MCS.2016.2621479
Estado	Publicada - feb. 2017
Publicado de forma externa	Sí

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 9: Industria, innovación e infraestructura

Áreas temáticas de ASJC Scopus

Ingeniería de control y sistemas
Modelización y simulación
Ingeniería eléctrica y electrónica

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abstract = "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.",

author = "Nicanor Quijano and Carlos Ocampo-Martinez and Julian Barreiro-Gomez and Germ{\'a}n Obando and Andres Pantoja and Eduardo Mojica-Nava",

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The role of population games and evolutionary dynamics in distributed control systems: The advantages of evolutionary game theory. / Quijano, Nicanor; Ocampo-Martinez, Carlos; Barreiro-Gomez, Julian et al.
En: IEEE Control Systems, Vol. 37, N.º 1, 7823106, 02.2017, p. 70-97.

Producción científica: Contribución a revista › Artículo de Investigación › revisión exhaustiva

TY - JOUR

T1 - The role of population games and evolutionary dynamics in distributed control systems

T2 - The advantages of evolutionary game theory

AU - Quijano, Nicanor

AU - Ocampo-Martinez, Carlos

AU - Barreiro-Gomez, Julian

AU - Obando, Germán

AU - Pantoja, Andres

AU - Mojica-Nava, Eduardo

PY - 2017/2

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AB - 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.

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AN - SCOPUS:85010383397

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

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