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[Seminario Línea de Matemáticas grupo GAUNAL, 1er. sem. 2016] «Graph based representation and decomposition of large-scale sytems: complexity and escalability of the approach» / «Distributed cooperative systems: Preliminar results derived from the chan...

La línea de matemáticas avanzada para el control y los sistemas dinámicos del Grupo de Automática de la Universidad Nacional (Gaunal) de la Fac. de Minas de la UN sede Medellín invita a las exposiciones:

Graph based representation and decomposition of large-scale sytems: complexity and escalability of the approach

For large-scale systems, complexity is usually related to the dynamics and interactions of the variables involved in the system operation, the high amount of such variables and the computational burden tha posses their control. Graph theory based representation of large-scale systems has provided the methods and techniques for decomposing the system and both evaluating the complexity and scalability of the decomposition problem.This presentation aims to provide insight about the complexity of the graph based decomposition problem with simulation results for real life networks compared to networks proposed with given relationships. 

Expositora: Mario Alejandro Giraldo

Fecha y hora: viernes 20 de mayo de 2016, 10:00-10:45

Lugar: salón M8-116

 

Distributed cooperative systems: Preliminar results derived from the channel characteristics model and the case study

In a first part, the main characteristics of the communication channel in a distributed cooperative system, i.e networked control system are presented, in order to determinate which of them degrades the performance of the system in a greater proportion. In the second part, a inverter based microgrid is presented as a case study. 

Expositora: Lizeth Lenis Martínez

Fecha y hora: viernes 20 de mayo de 2016, 11:00-11:45

Lugar: salón M8-116

 

Ambos seminarios son dirigidos por el profesor Jairo José Espinosa Oviedo

Información adicional: Magda Pinto Vargas, magda.pinto.vargas@gmail.com , teléfono (+574)4255295

[Boletín UN Investiga 297, 12 de mayo de 2016]
[
Boletín UN Investiga 298, 19 de mayo de 2016]

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