dc.creator | Lu, Liang | es |
dc.creator | Limón Marruedo, Daniel | es |
dc.creator | Kolmanovsky, Ilya | es |
dc.date.accessioned | 2024-01-21T10:49:18Z | |
dc.date.available | 2024-01-21T10:49:18Z | |
dc.date.issued | 2022-08 | |
dc.identifier.citation | Lu, L., Limón, D. y Kolmanovsky, I. (2022). Self-triggered MPC with performance guarantee for tracking piecewise constant reference signals. Automatica, 142, 110364. https://doi.org/10.1016/j.automatica.2022.110364. | |
dc.identifier.issn | 0005-1098 | es |
dc.identifier.uri | https://hdl.handle.net/11441/153689 | |
dc.description.abstract | This paper considers a self-triggered MPC controller design strategy for tracking piecewise constant reference signals. The proposed triggering scheme is based on the relaxed dynamic programming inequality and the idea of reference governor; such a scheme computes both the updated control action and the next triggering time. The resulting self-triggered tracking MPC control law preserves stability and constraint satisfaction and also satisfies certain a priori chosen performance requirements without the need to impose stabilizing terminal conditions. An illustrative example shows the effectiveness of this self-triggered tracking MPC implementation. | es |
dc.description.sponsorship | National Nature Science Foundation (China) 61304091 | es |
dc.description.sponsorship | European Union NextGenerationEU/PRTR P20_00546 | es |
dc.format | application/pdf | es |
dc.format.extent | 8 p. | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Automatica, 142, 110364. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Self-triggered control | es |
dc.subject | Tracking model predictive control | es |
dc.subject | Reference governor | es |
dc.subject | Relaxed dynamic programming | es |
dc.title | Self-triggered MPC with performance guarantee for tracking piecewise constant reference signals | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/embargoedAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | es |
dc.relation.projectID | PDC2021-121120-C21 | es |
dc.relation.projectID | MCIN/AEI/ 10.13039/501100011033 | es |
dc.relation.projectID | EU/PRTR P20_00546 | es |
dc.date.embargoEndDate | 2024-09-01 | |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S000510982200214X | es |
dc.identifier.doi | 10.1016/j.automatica.2022.110364 | es |
dc.contributor.group | Universidad de Sevilla. TEP950: Estimación, Predicción, Optimización y Control | es |
dc.journaltitle | Automatica | es |
dc.publication.volumen | 142 | es |
dc.publication.initialPage | 110364 | es |
dc.contributor.funder | European Union (UE) | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | es |
dc.contributor.funder | Agencia Estatal de Investigación. España | es |
dc.contributor.funder | Junta de Andalucía | es |