Publicación:
Model predictive control with PWA models
Model predictive control with PWA models
dc.contributor.author | Oliden J. | es_PE |
dc.contributor.author | Ipanaque W. | es_PE |
dc.date.accessioned | 2024-05-30T23:13:38Z | |
dc.date.available | 2024-05-30T23:13:38Z | |
dc.date.issued | 2020 | |
dc.description.abstract | This article presents on controlling a fishmeal dryer. A model-based predictive controller was designed to control the amount of moisture present in fishmeal. The Nonlinear Extended Prediction Self-Adaptive Control (NEPSAC) approach has been used. This approach uses a non-linear model in its implementation. In this work we study the use of piecewise affine (PWA) models to approximate the non-linear model. The use of PWA models reduces calculation time but worsens the performance of the controller. © 2020 IEEE. | |
dc.description.sponsorship | Fondo Nacional de Desarrollo Científico y Tecnológico - Fondecyt | |
dc.identifier.doi | https://doi.org/10.1109/EIRCON51178.2020.9254054 | |
dc.identifier.scopus | 2-s2.0-85097827581 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12390/2471 | |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.relation.ispartof | Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | PWA | |
dc.subject | NEPSAC | es_PE |
dc.subject | non linear control | es_PE |
dc.subject.ocde | http://purl.org/pe-repo/ocde/ford#2.02.04 | |
dc.title | Model predictive control with PWA models | |
dc.type | info:eu-repo/semantics/article | |
dspace.entity.type | Publication | |
oairecerif.author.affiliation | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
oairecerif.author.affiliation | #PLACEHOLDER_PARENT_METADATA_VALUE# |