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
N1 - Publisher Copyright:
© 1991-2012 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/2
Y1 - 2017/2
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=85010383397&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85010383397&partnerID=8YFLogxK
U2 - 10.1109/MCS.2016.2621479
DO - 10.1109/MCS.2016.2621479
M3 - Research Article
AN - SCOPUS:85010383397
SN - 1066-033X
VL - 37
SP - 70
EP - 97
JO - IEEE Control Systems
JF - IEEE Control Systems
IS - 1
M1 - 7823106
ER -