Neural Network-Based Model Predictive Control of a Paste Thickener Over an Industrial Internet Platform
dc.contributor.author | Núñez Retamal, Felipe Eduardo | |
dc.contributor.author | Langarica Chavira, Saúl Alberto | |
dc.contributor.author | Díaz Titelman, Pablo | |
dc.contributor.author | Torres, Mario | |
dc.contributor.author | Salas, Juan Carlos | |
dc.date.accessioned | 2022-05-18T14:39:48Z | |
dc.date.available | 2022-05-18T14:39:48Z | |
dc.date.issued | 2020 | |
dc.description.abstract | This article presents a real implementation of a neural network-based model predictive control scheme (NNMPC) to control an industrial paste thickener. The implementation is done over an Industrial Internet of Things (IIoT) platform designed using the seven layer reference model for IIoT systems. Modeling is achieved using an encoder-decoder with attention recurrent neural network, while MPC search is done using particle swarm optimization. An industrial evaluation is presented, which highlights the set-point tracking and disturbance rejection capabilities of the proposed NNMPC technique. | |
dc.fuente.origen | IEEE | |
dc.identifier.doi | 10.1109/TII.2019.2953275 | |
dc.identifier.issn | 1941-0050 | |
dc.identifier.uri | https://doi.org/10.1109/TII.2019.2953275 | |
dc.identifier.uri | https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8897590 | |
dc.identifier.uri | https://repositorio.uc.cl/handle/11534/64163 | |
dc.identifier.wosid | WOS:000510901000069 | |
dc.information.autoruc | Escuela de ingeniería ; Núñez Retamal, Felipe Eduardo ; S/I ; 131441 | |
dc.information.autoruc | Escuela de ingeniería ; Langarica Chavira, Saúl Alberto ; S/I ; 222832 | |
dc.information.autoruc | Escuela de ingeniería ; Díaz Titelman, Pablo ; S/I ; 213619 | |
dc.information.autoruc | Escuela de ingeniería ; Salas Morales, Juan Carlos ; S/I ; 1020223 | |
dc.issue.numero | 4 | |
dc.language.iso | en | |
dc.nota.acceso | Contenido parcial | |
dc.pagina.final | 2867 | |
dc.pagina.inicio | 2859 | |
dc.revista | IEEE Transactions on Industrial Informatics | |
dc.rights | acceso restringido | |
dc.subject | Process control | |
dc.subject | Artificial neural networks | |
dc.subject | Solids | |
dc.subject | Predictive models | |
dc.subject | Discharges (electric) | |
dc.subject | Informatics | |
dc.subject.ods | 06 Clean Water and Sanitation | |
dc.subject.odspa | 06 Agua limpia y saneamiento | |
dc.title | Neural Network-Based Model Predictive Control of a Paste Thickener Over an Industrial Internet Platform | es_ES |
dc.type | artículo | |
dc.volumen | 16 | |
sipa.codpersvinculados | 131441 | |
sipa.codpersvinculados | 222832 | |
sipa.codpersvinculados | 213619 | |
sipa.codpersvinculados | 1020223 |