dc.creator | Rodríguez Ramírez, Daniel | es |
dc.creator | Alamo, Teodoro | es |
dc.creator | Camacho, Eduardo F. | es |
dc.creator | Muñoz de la Peña Sequedo, David | es |
dc.date.accessioned | 2020-03-31T09:47:08Z | |
dc.date.available | 2020-03-31T09:47:08Z | |
dc.date.issued | 2006 | |
dc.identifier.citation | Rodríguez Ramírez, D., Alamo, T., Camacho, E.F. y Muñoz de la Peña Sequedo, D. (2006). Min-Max MPC based on a computationally efficient upper bound of the worst case cost. Journal of Process Control, 16 (5), 511-519. | |
dc.identifier.issn | 0959-1524 | es |
dc.identifier.uri | https://hdl.handle.net/11441/94724 | |
dc.description.abstract | Min-Max MPC (MMMPC) controllers [P.J. Campo, M. Morari, Robust model predictive control, in: Proc. American Control Conference, June 10–12, 1987, pp. 1021–1026] suffer from a great computational burden which limits their applicability in the industry. Sometimes upper bounds of the worst possible case of a performance index have been used to reduce the computational burden. This paper proposes a computationally efficient MMMPC control strategy in which the worst case cost is approximated by an upper bound based on a diagonalization scheme. The upper bound can be computed with O(n3) operations and using only simple matrix operations. This implies that the algorithm can be coded easily even in non-mathematical oriented programming languages such as those found in industrial embedded control hardware. A simulation example is given in the paper. | es |
dc.format | application/pdf | es |
dc.format.extent | 9 p. | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Journal of Process Control, 16 (5), 511-519. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Predictive control | es |
dc.subject | Minimax techniques | es |
dc.subject | Uncertain linear systems | es |
dc.title | Min-Max MPC based on a computationally efficient upper bound of the worst case cost | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | 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.publisherversion | https://www.sciencedirect.com/science/article/pii/S0959152405001009#! | es |
dc.identifier.doi | 10.1016/j.jprocont.2005.07.005 | es |
dc.journaltitle | Journal of Process Control | es |
dc.publication.volumen | 16 | es |
dc.publication.issue | 5 | es |
dc.publication.initialPage | 511 | es |
dc.publication.endPage | 519 | es |
dc.identifier.sisius | 6632182 | es |