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Listar por autor "Rodríguez Ramírez, Daniel"
Mostrando ítems 21-40 de 51
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Trabajo Fin de Grado
Implementación paralela de algoritmos de control y optimización en CUDA
Mayoral Briz, Eduardo (2018)Tradicionalmente, el desarrollo de algoritmos siempre ha estado sujeto a la recepción secuencial de instrucciones de los ...
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Artículo
Implementation of min–max MPC using hinging hyperplanes. Application to a heat exchanger
Rodríguez Ramírez, Daniel; Camacho, Eduardo F.; Arahal, Manuel R. (Elsevier, 2004)Min–max model predictive control (MMMPC) is one of the few control techniques able to cope with modelling errors or ...
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Artículo
Kernel-based State-Space Kriging for Predictive Control
Carnerero Panduro, Alfonso Daniel; Rodríguez Ramírez, Daniel; Limón Marruedo, Daniel; Alamo, Teodoro (Institute of Electric and Electronics Engineers (IEEE), 2023-05)In this paper, we extend the State-Space Kriging (SSK) modeling technique presented in a previous work by the authors in ...
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Ponencia
Linealidad a trozos de la ley de Control Min-Max MPC con norma cuadrática e incertidumbres acotadas
Rodríguez Ramírez, Daniel; Camacho, Eduardo F. (CEA - Comité Español de Automática, 2001)En este trabajo se demuestra como la ley de control Min Max MPC con una función de coste cuadrática y de horizonte finito ...
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Ponencia
Min-max model predictive control as a quadratic program
Muñoz de la Peña Sequedo, David; Alamo, Teodoro; Rodríguez Ramírez, Daniel; Camacho, Eduardo F. (Elsevier, 2005)This paper deals with the implementation of min-max model predictive control for constrained linear systems with bounded ...
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Artículo
Min-Max MPC based on a computationally efficient upper bound of the worst case cost
Rodríguez Ramírez, Daniel; Alamo, Teodoro; Camacho, Eduardo F.; Muñoz de la Peña Sequedo, David (Elsevier, 2006)Min-Max MPC (MMMPC) controllers [P.J. Campo, M. Morari, Robust model predictive control, in: Proc. American Control ...
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Artículo
Min-Max Predictive Control of a Five-Phase Induction Machine
Rodríguez Ramírez, Daniel; Martín Torres, Cristina; Kowal Gornig, Agnieszka; Arahal, Manuel R. (MDPI, 2019-09)In this paper, a fuzzy-logic based operator is used instead of a traditional cost function for the predictive stator ...
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Ponencia
Min-Max Predictive Control of a Pilot Plant using a QP Approach
Gruber, Jorn Klaas; Rodríguez Ramírez, Daniel; Alamo, Teodoro; Bordons Alba, Carlos; Camacho, Eduardo F. (Institute of Electrical and Electronics Engineers (IEEE), 2008)The practical implementation of min-max MPC (MMMPC) controllers is limited by the computational burden required to compute ...
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Artículo
Min–max MPC using a tractable QP problem
Alamo, Teodoro; Rodríguez Ramírez, Daniel; Muñoz de la Peña Sequedo, David; Camacho, Eduardo F. (Elsevier, 2007)Min–max model predictive controllers (MMMPC) suffer from a great computational burden that is often circumvented by using ...
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Artículo
Model predictive control techniques for hybrid systems
Camacho, Eduardo F.; Rodríguez Ramírez, Daniel; Limón Marruedo, Daniel; Muñoz de la Peña Sequedo, David; Alamo, Teodoro (Elsevier, 2010)This paper describes the main issues encountered when applying model predictive control to hybrid processes. Hybrid model ...
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Trabajo Fin de Máster
Modelado y gestión de un Centro de Datos
Murillo Álvarez, José Ignacio (2023)En un mundo impulsado por el auge de las nuevas tecnologías, la construcción de infraestructuras para alojar y gestionar ...
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Ponencia
Neural Network Based Min-Max Predictive Control. Application to a Heat Exchanger
Rodríguez Ramírez, Daniel; Ruiz Arahal, Manuel; Camacho, Eduardo F. (Elsevier, 2001)Min-max model predictive controllers (MMMPC) have been proposed for the control of linear plants subject to bounded ...
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Artículo
Neural Networks in Narrow Stock Markets
Alfonso Pérez, Gerardo; Rodríguez Ramírez, Daniel (MDPI, 2020-08)Narrow markets are typically considered those that due to limited liquidity or peculiarities in its investor base, such ...
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Artículo
Nonlinear MPC for Tracking for a Class of Non-Convex Admissible Output Sets
Cotorruelo, Andres; Rodríguez Ramírez, Daniel; Limón Marruedo, Daniel; Garone, Emanuele (Institute of Electrical and Electronics Engineers Inc., 2021)This article presents an extension to the nonlinear model predictive control (MPC) for tracking scheme able to guarantee ...
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Artículo
Offset free data driven control: application to a process control trainer
Salvador, José R.; Rodríguez Ramírez, Daniel; Alamo, Teodoro; Muñoz de la Peña Sequedo, David (Institution of Engineering and Technology (IET) and Wiley Open Access, 2019-12)This work presents a data driven control strategy able to track a set point without steady-state error. The control sequence ...
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Ponencia
On Data Reutilization for Historian Based Predictive Control
Maestre Torreblanca, José María; Masero Rubio, Eva; Salvador, J.R.; Rodríguez Ramírez, Daniel; Zhu, Q. (IEEE (Institute of Electrical and Electronics Engineers), 2023)This paper presents a robust finite-horizon control scheme based on data that produces feasible control sequences. The ...
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Tesis Doctoral
On randomized algorithms and their applications in robust optimization: Algoritmos aleatorios y aplicaciones en optimización robusta
Luque Sendra, Amalia (2014)Las aéreas que han sido abordadas en la tesis y q se pueden considerar para trabajo futuro son: * Aplicación a CUDA * ...
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Trabajo Fin de Grado
Predicción basada en datos aplicada a un proceso de laboratorio
García Rosales de Salamanca, Rafael (2021)La finalidad de este Trabajo de Fin de Grado ha consistido en el tratamiento de datos que fueron tomados a partir un ...
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Artículo
Prediction regions based on dissimilarity functions
Carnerero Panduro, Alfonso Daniel; Rodríguez Ramírez, Daniel; Lucia, Sergio; Alamo, Teodoro (Elsevier, 2023-08)This paper presents a new methodology to obtain prediction regions of the output of a dynamical system. The proposed ...
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Artículo
Predictive control of a water distribution system based on process historian data
Salvador Ortiz, José Ramón; Muñoz de la Peña Sequedo, David; Rodríguez Ramírez, Daniel; Alamo, Teodoro (Wiley, 2020-03)In this paper, a heuristic historian data-based predictive control strategy is presented and used to control a water ...