dc.creator | Manzano Crespo, José María | es |
dc.creator | Muñoz de la Peña Sequedo, David | es |
dc.creator | Calliess, Jan Peter | es |
dc.creator | Limón Marruedo, Daniel | es |
dc.date.accessioned | 2022-09-13T13:55:37Z | |
dc.date.available | 2022-09-13T13:55:37Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Manzano, J.M., Muñoz de la Peña Sequedo, D., Calliess, J.P. y Limón Marruedo, D. (2020). Online learning constrained model predictive control based on double prediction. International Journal of Robust and Nonlinear Control, 31 (18), 8813-8829. | |
dc.identifier.issn | 1049-8923 | es |
dc.identifier.uri | https://hdl.handle.net/11441/137035 | |
dc.description.abstract | A data-based predictive controller is proposed, offering both robust stability
guarantees and online learning capabilities. To merge these two properties in
a single controller, a double-prediction approach is taken. On the one hand,
a safe prediction is computed using Lipschitz interpolation on the basis of an
offline identification dataset, which guarantees safety of the controlled system.
On the other hand, the controller also benefits from the use of a second online
learning-based prediction as measurements incrementally become available
over time. Sufficient conditions for robust stability and constraint satisfaction
are given. Illustrations of the approach are provided in a simulated case study | es |
dc.description.sponsorship | Feder (UE) DPI2016‐76493‐C3‐1‐R | es |
dc.description.sponsorship | Universidad de Sevilla VI‐PPIT | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad (MINECO). España DPI2016‐76493‐C3‐1‐R | es |
dc.format | application/pdf | es |
dc.format.extent | 17 p. | es |
dc.language.iso | eng | es |
dc.publisher | John Wiley and Sons Ltd | es |
dc.relation.ispartof | International Journal of Robust and Nonlinear Control, 31 (18), 8813-8829. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Data-based control | es |
dc.subject | Learning-based MPC | es |
dc.subject | Nonlinear MPC | es |
dc.subject | Robust control | es |
dc.title | Online learning constrained model predictive control based on double prediction | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | es |
dc.relation.projectID | DPI2016‐76493‐C3‐1‐R | es |
dc.relation.projectID | VI‐PPIT | es |
dc.relation.publisherversion | https://onlinelibrary.wiley.com/doi/full/10.1002/rnc.5124 | es |
dc.identifier.doi | 10.1002/rnc.5124 | es |
dc.journaltitle | International Journal of Robust and Nonlinear Control | es |
dc.publication.volumen | 31 | es |
dc.publication.issue | 18 | es |
dc.publication.initialPage | 8813 | es |
dc.publication.endPage | 8829 | es |