Article
Coalitional model predictive control with different inter-agent interaction modes
Author/s | Sánchez Amores, Ana
Chanfreut Palacio, Paula Maestre Torreblanca, José María Camacho, Eduardo F. |
Department | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Publication Date | 2022-11 |
Deposit Date | 2022-11-08 |
Published in |
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Abstract | Coalitional control is a type of distributed control characterized by the dynamic adjustment of the overall controller structure so that only strongly coupled agents interact with each other. In particular, local controllers ... Coalitional control is a type of distributed control characterized by the dynamic adjustment of the overall controller structure so that only strongly coupled agents interact with each other. In particular, local controllers merge into cooperative coalitions (or clusters) only when it improves global performance, thus reducing the overall cooperation burden. This paper proposes a novel coalitional model predictive control (MPC) approach in which coupled variables are decomposed into a public part, which is optimized by the neighboring agents, and a private one, which is locally controlled by the agent that owns it. The bounds on these variables are negotiated in a distributed manner, and a threshold is established to trigger different interaction modes, including the classical decentralized and distributed approaches, and flexible modes of cooperation. Finally, to illustrate the benefits of this control scheme, results on a simulated eight input-coupled tanks plant are provided. |
Funding agencies | Consejo Europeo de Investigación (ERC) OCONTSOLAR 789051 Ministerio de Universidades FPU17/02653 Ministerio de Ciencia e Innovación - AEI PID2020-119476RB-I00 |
Project ID. | OCONTSOLAR 789051
FPU17/02653 PID2020-119476RB-I00 |
Citation | Sánchez Amores, A., Chanfreut Palacio, P., Maestre Torreblanca, J.M. y Camacho, E.F. (2022). Coalitional model predictive control with different inter-agent interaction modes. European Journal of Control, 68 (European Journal of Control), 100676. https://doi.org/10.1016/j.ejcon.2022.100676. |
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