A Coalitional Model Predictive Control Approach for Heterogeneous Cellular Networks

Masero, Eva; Fletscher, Luis Alejandro; Maestre, José María Maestre

doi:10.23919/ecc51009.2020.9143643

Cited by 5 publications

(5 citation statements)

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“…Maestre and Ishii (2017) present a fully distributed method where the cooperation architecture is given by link requests/offers between local controllers; and in (Fele et al, 2018), agents perform an autonomous negotiation protocol to determine the partition of the system using coalitional MPC. Potential applications for clustering are power networks (Dörfler et al, 2014;Schiffer et al, 2017), freeways traffic systems (Chanfreut et al, 2020), wind farms (Yuan et al, 2018), telecommunication networks (Masero et al, 2020), irrigation canals (Fele et al, 2014), mobile social networks (Niyato et al, 2011), and supply chains (Gao et al, 2017). To the best of our knowledge, there are no applications in solar parabolic-trough plants.…”

Section: Introductionmentioning

confidence: 99%

A light clustering model predictive control approach to maximize thermal power in solar parabolic-trough plants

et al. 2021

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Section: Introductionmentioning

confidence: 99%

A light clustering model predictive control approach to maximize thermal power in solar parabolic-trough plants

et al. 2021

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“…Using this foundation, a Coalitional Model Predictive Control (C-MPC) strategy was developed and applied on different applications such as cellular networks in [21,22] or an eight-coupled tank process [23]. Thus, the agents charged with controlling the local sub-systems can form coalitions depending on the activation of the communication links between them.…”

Section: Introductionmentioning

confidence: 99%

A Coalitional Distributed Model Predictive Control Perspective for a Cyber-Physical Multi-Agent Application

Maxim

Caruntu

2021

Sensors

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Following the current technological development and informational advancement, more and more physical systems have become interconnected and linked via communication networks. The objective of this work is the development of a Coalitional Distributed Model Predictive Control (C- DMPC) strategy suitable for controlling cyber-physical, multi-agent systems. The motivation behind this endeavour is to design a novel algorithm with a flexible control architecture by combining the advantages of classical DMPC with Coalitional MPC. The simulation results were achieved using a test scenario composed of four dynamically coupled sub-systems, connected through an unidirectional communication topology. The obtained results illustrate that, when the feasibility of the local optimization problem is lost, forming a coalition between neighbouring agents solves this shortcoming and maintains the functionality of the entire system. These findings successfully prove the efficiency and performance of the proposed coalitional DMPC method.

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“…Cada coalición resultante coordina de forma autónoma las acciones de control de sus agentes miembros. Esta implementación coalicional, más escalable que los esquemas distribuidos tradicionales, se ha extendido al MPC (Fele et al, 2017(Fele et al, , 2018Baldivieso-Monasterios and Trodden, 2021;Chanfreut et al, 2021b), con aplicaciones a sistemas de agua (Fele et al, 2014;Núñez et al, 2015;Maestre and Ishii, 2017;Muros et al, 2018a,b), fuentes de energía renovables (Masero et al, 2020(Masero et al, , 2021, o redes de carreteras (Chanfreut et al, 2021a), entre otras.…”

Section: Introductionunclassified

El control coalicional en el marco de la teoría de juegos cooperativos

Muros

2021

Rev. iberoam. autom. inform. ind.

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<p>El control coalicional es una rama incipiente del control distribuido donde los distintos agentes se agrupan de forma dinámica en coaliciones en función de los enlaces de comunicación activos/inactivos en cada instante de tiempo. Gracias a ello, se reduce la carga de comunicación sin comprometer las prestaciones del sistema. En este tutorial, se analizan las principales características de estos esquemas dentro del marco de la teoría de juegos cooperativos, estando el juego definido por la función de coste a optimizar en el esquema de control, y correspondiendo los jugadores bien a los enlaces de comunicación o bien a los propios agentes. En este contexto, se estudiarán diversas herramientas de teoría de juegos cooperativos, con objeto de clasificar jugadores, imponer restricciones en los mismos, proponer vías de cálculo más eficientes, realizar particionado de sistemas, etc., examinando las características más relevantes presentadas por cada herramienta.</p>

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A Coalitional Model Predictive Control Approach for Heterogeneous Cellular Networks

Abstract: To cite this publication, please use the final published version (if applicable). Please check the document version above.

Cited by 5 publications

References 23 publications

A light clustering model predictive control approach to maximize thermal power in solar parabolic-trough plants

A light clustering model predictive control approach to maximize thermal power in solar parabolic-trough plants

A Coalitional Distributed Model Predictive Control Perspective for a Cyber-Physical Multi-Agent Application

El control coalicional en el marco de la teoría de juegos cooperativos

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