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