- -

Robust and Stable Predictive Control with Bounded Uncertainties

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Robust and Stable Predictive Control with Bounded Uncertainties

Show simple item record

Files in this item

dc.contributor.author Ramos Fernández, César es_ES
dc.contributor.author Martínez Iranzo, Miguel Andrés es_ES
dc.contributor.author Sanchís Saez, Javier es_ES
dc.contributor.author Herrero Durá, Juan Manuel es_ES
dc.date.accessioned 2019-09-07T20:02:21Z
dc.date.available 2019-09-07T20:02:21Z
dc.date.issued 2008 es_ES
dc.identifier.issn 0022-247X es_ES
dc.identifier.uri http://hdl.handle.net/10251/125223
dc.description.abstract [EN] Min-Max optimization is often used for improving robustness in Model Predictive Control (MPC). An analogy to this optimization could be the BDU (Bounded Data Uncertainties) method, which is a regularization technique for least-squares problems that takes into account the uncertainty bounds. Stability of MPC can be achieved by using terminal constraints, such as in the CRHPC (Constrained Receding-Horizon Predictive Control) algorithm. By combining both BDU and CRHPC methods, a robust and stable MPC is obtained, which is the aim of this work. BDU also offers a guided method of tuning the empirically tuned penalization parameter for the control effort in MPC. (C) 2008 Elsevier Inc. All rights reserved. es_ES
dc.description.sponsorship This work has been partially financed by DPI2005-07835 and DPI2004-08383-C03-02 MEC-FEDER.
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation MECD/DPI2004-08383-C03-02 es_ES
dc.relation MECD/DPI2005-07835 es_ES
dc.relation.ispartof Journal of Mathematical Analysis and Applications es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Model predictive control es_ES
dc.subject Min-max optimization es_ES
dc.subject Regularization es_ES
dc.subject Robustness es_ES
dc.subject Stability es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.title Robust and Stable Predictive Control with Bounded Uncertainties es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.jmaa.2007.12.073 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica es_ES
dc.description.bibliographicCitation Ramos Fernández, C.; Martínez Iranzo, MA.; Sanchís Saez, J.; Herrero Durá, JM. (2008). Robust and Stable Predictive Control with Bounded Uncertainties. Journal of Mathematical Analysis and Applications. 342(2):1003-1014. https://doi.org/10.1016/j.jmaa.2007.12.073 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1016/j.jmaa.2007.12.073 es_ES
dc.description.upvformatpinicio 1003 es_ES
dc.description.upvformatpfin 1014 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 342 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\34180 es_ES
dc.contributor.funder Ministerio de Educación es_ES


This item appears in the following Collection(s)

Show simple item record