dc.creator | Alvarado Aldea, Ignacio | es |
dc.creator | Krupa García, Pablo | es |
dc.creator | Limón Marruedo, Daniel | es |
dc.creator | Alamo, Teodoro | es |
dc.date.accessioned | 2022-06-06T10:15:15Z | |
dc.date.available | 2022-06-06T10:15:15Z | |
dc.date.issued | 2022-02 | |
dc.identifier.citation | Alvarado Aldea, I., Krupa García, P., Limón Marruedo, D. y Alamo, T. (2022). Tractable robust MPC design based on nominal predictions. Journal of Process Control, 111, 75-85. | |
dc.identifier.issn | 0959-1524 | es |
dc.identifier.uri | https://hdl.handle.net/11441/134058 | |
dc.description.abstract | Many popular approaches in the field of robust model predictive control (MPC) are based on nominal predictions. This paper presents a novel formulation of this class of controller with proven input-to-state stability and robust constraint satisfaction. Its advantages are: (i) the design of its main ingredients are tractable for medium to large-sized systems, (ii) the terminal set does not need to be robust with respect to all the possible system uncertainties, but only for a reduced set that can be made arbitrarily small, thus facilitating its design and implementation, (iii) under certain conditions the terminal set can be taken as a positive invariant set of the nominal system, allowing us to use a terminal equality constraint, which facilitates its application to large-scale systems, and (iv) the complexity of its optimization problem is comparable to the non-robust MPC variant. We show numerical closed-loop results of its application to a multivariable chemical plant and compare it against other robust MPC formulations. | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación - Agencia Estatal de Investigación PID2019-106212 RB-C41 | es |
dc.description.sponsorship | Junta de Andalucía - Fondo Europeo de Desarrollo Regional P20_00546 | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación - Agencia Estatal de Investigación PDC2021-121120-C21 | es |
dc.format | application/pdf | es |
dc.format.extent | 11 p. | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Journal of Process Control, 111, 75-85. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Model Predictive Control | es |
dc.subject | Robust control | es |
dc.subject | Linear systems | es |
dc.subject | Constraint tightening | es |
dc.title | Tractable robust MPC design based on nominal predictions | 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 | PID2019-106212 RB-C41 | es |
dc.relation.projectID | P20_00546 | es |
dc.relation.projectID | PDC2021-121120-C21 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0959152422000129 | es |
dc.identifier.doi | 10.1016/j.jprocont.2022.01.006 | es |
dc.contributor.group | Universidad de Sevilla. TEP-950: Estimación, Predicción, Optimización y Control | es |
dc.journaltitle | Journal of Process Control | es |
dc.publication.volumen | 111 | es |
dc.publication.initialPage | 75 | es |
dc.publication.endPage | 85 | es |