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Robust and Stable Predictive Control with Bounded Uncertainties

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Robust and Stable Predictive Control with Bounded Uncertainties

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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

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/125223

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Title: Robust and Stable Predictive Control with Bounded Uncertainties
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
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 ...[+]
Subjects: Model predictive control , Min-max optimization , Regularization , Robustness , Stability
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Journal of Mathematical Analysis and Applications. (issn: 0022-247X )
DOI: 10.1016/j.jmaa.2007.12.073
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.jmaa.2007.12.073
Thanks:
This work has been partially financed by DPI2005-07835 and DPI2004-08383-C03-02 MEC-FEDER.
Type: Artículo

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