Artículo
Robust coalitional model predictive control with plug-and-play capabilities
Autor/es | Masero Rubio, Eva
Baldivieso-Monasterios, Pablo R. Maestre Torreblanca, José María Trodden, Paul A. |
Departamento | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Fecha de publicación | 2023-07 |
Fecha de depósito | 2023-05-04 |
Publicado en |
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Premios | Premio Trimestral Publicación Científica Destacada de la US. Escuela Técnica Superior de Ingeniería |
Resumen | This article presents a distributed implementation of a model predictive controller with information exchange to manage a distributed networked system of coupled dynamic subsystems. We propose a coalitional control method, ... This article presents a distributed implementation of a model predictive controller with information exchange to manage a distributed networked system of coupled dynamic subsystems. We propose a coalitional control method, where local controllers coalesce into clusters to improve performance, as a tool to solve plug-and-play problems. Our main contribution is a tube-based coalitional approach that employs online optimized invariant sets. These sets are instrumental in guaranteeing recursive feasibility and stability when faced with plug-and-play operations, i.e., subsystems joining or leaving the network. We also explore the inherent robustness properties to absorb disturbances not covered by the tubes without the need to group local controllers. Finally, the simulation results show the benefits of our proposed control method. |
Agencias financiadoras | European Research Council for the Advanced Research Ministerio de Ciencia e Innovación (MICIN). España |
Identificador del proyecto | OCONTSOLAR ref. 789051
PID2020-119476RB-I00 FPU18/04476 |
Cita | Masero Rubio, E., Baldivieso-Monasterios, P.R., Maestre Torreblanca, J.M. y Trodden, P.A. (2023). Robust coalitional model predictive control with plug-and-play capabilities. Automatica, 153 (111053). https://doi.org/10.1016/j.automatica.2023.111053. |
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A_masero-rubio_2023_robust.pdf | 1.630Mb | [PDF] | Ver/ | |