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Título: | A communication-based distributed model predictive control approach for large-scale systems |
Autor: | Segovia Castillo, Pablo CSIC ORCID; Rajaoarisoa, Lala; Nejjari, Fatiha; Duviella, Eric; Puig, Vicenç CSIC ORCID | Fecha de publicación: | 2019 | Editor: | Institute of Electrical and Electronics Engineers | Citación: | IEEE 58th Conference on Decision and Control: 8366-8371 (2019) | Resumen: | This work presents a distributed model predictive control strategy as an alternative to conventional centralized approaches, which often suffer from implementation issues when applied to large-scale systems. The overall system is partitioned into minimally coupled subsystems based on its structural properties. Then, the coordination among the subproblems is achieved by means of a communication protocol, which allows each local controller to broadcast its solution to the rest of controllers with a coupled variable. The proposed approach is tested on the quadruple-tank process, and its effectiveness is proved by comparing the obtained results to those documented in an existing benchmark. | Descripción: | Trabajo presentado en el 58th Conference on Decision and Control (CDC), celebrado en Niza (Francia), del 11 al 13 de diciembre de 2019 | Versión del editor: | http://dx.doi.org/10.1109/CDC40024.2019.9030085 | URI: | http://hdl.handle.net/10261/206466 | DOI: | 10.1109/CDC40024.2019.9030085 | Identificadores: | doi: 10.1109/CDC40024.2019.9030085 issn: 2576-2370 |
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