Author profile: Rodríguez Ramírez, Daniel
Institutional data
| Name | Rodríguez Ramírez, Daniel |
| Department | Ingeniería de Sistemas y Automática |
| Knowledge area | Ingeniería de Sistemas y Automática |
| Professional category | Catedrático de Universidad |
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Statistics
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No. publications
51
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No. visits
4905
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No. downloads
18121
| Publications |
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Article
 Control predictivo polifásico mediante dos constelaciones de vectores virtuales de tensión
(Comité Español de Autonomática (CEA-IFAC), 2023)
En el campo de los accionamientos eléctricos de velocidad variable ha aparecido recientemente el m´etodo predictivo basado ... |
Article
Prediction regions based on dissimilarity functions
(Elsevier, 2023)
This paper presents a new methodology to obtain prediction regions of the output of a dynamical system. The proposed ... |
Article
Kernel-based State-Space Kriging for Predictive Control
(Institute of Electric and Electronics Engineers (IEEE), 2023)
In this paper, we extend the State-Space Kriging (SSK) modeling technique presented in a previous work by the authors in ... |
Master's Final Project
Modelado y gestión de un Centro de Datos
(2023)
En un mundo impulsado por el auge de las nuevas tecnologías, la construcción de infraestructuras para alojar y gestionar ... |
Presentation
On Data Reutilization for Historian Based Predictive Control
(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 ... |
Article
Robust data-based predictive control of systems with parametric uncertainties: Paving the way for cooperative learning
(Elsevier, 2023)
This article combines data and tube-based predictive control to deal with systems with bounded parametric uncertainty. ... |
Article
Estimación de intensidades rotóricas en máquinas polifásicas para control predictivo
(Universitat Politècnica de València, 2023)
El control predictivo de corrientes de estátor precisa una estimación de las corrientes rotóricas que son, usualmente, no ... |
PhD Thesis
Probabilistic data-driven methods for forecasting, identification and control
(2022)
This dissertation presents contributions mainly in three different fields: system identification, probabilistic forecasting ... |
Article
Probabilistically Certified Management of Data Centers Using Predictive Control
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Data centers are facilities with large number of servers providing cloud services. The increasing number of data centers ... |
Article
Predictive Control of Multi-Phase Motor for Constant Torque Applications
(MDPI, 2022)
Constant torque motors are needed for rotary screw compressors that are used for cooling and other applications. In such ... |
Final Degree Project
Aplicación para el control de una carga programable para una máquina de inducción usando un PLC
(2022)
El objeto de este proyecto es la creación y configuración de una herramienta digital basada en MATLAB y sus librerías de ... |
Article
State-Space Kriging: A Data-Driven Method to Forecast Nonlinear Dynamical Systems
(IEEE, 2022)
This letter presents a new method for modeling dynamical systems. The method uses historical data of the outputs to predict ... |
Article
Probabilistic interval predictor based on dissimilarity functions
(Institute of Electrical and Electronics Engineers. IEEE, 2021)
This work presents a new methodology to obtain probabilistic interval predictions of a dynamical system. The proposed ... |
Master's Final Project
Comparativa de algoritmos de aprendizaje para el fraccionamiento óptimo de grandes órdenes
(2021)
Existen varias técnicas para la división de grandes órdenes bursátiles en pequeñas subórdenes y así reducir su impacto en ... |
Article
Receding Horizon Optimization of Large Trade Orders
(Institute of Electrical and Electronics Engineers Inc., 2021)
The optimal execution of stock trades is a relevant and interesting problem as it is key in maximizing profits and reducing ... |
PhD Thesis
Forecasting and optimization of stock trades
(2021)
The stock market is a complex and challenging field of research that has attracted researchers from several fields, such ... |
Article
Reference dependent invariant sets: Sum of squares based computation and applications in constrained control
(Elsevier Ltd, 2021)
The goal of this paper is to present a systematic method to compute reference dependent positively in- variant sets for ... |
Final Degree Project
Control servo-visual de una plataforma giroestabilizada
(2021)
El control servo-visual consiste en utilizar una referencia de imagen obtenida a través de un elemento fotográfico, como ... |
Final Degree Project
Predicción basada en datos aplicada a un proceso de laboratorio
(2021)
La finalidad de este Trabajo de Fin de Grado ha consistido en el tratamiento de datos que fueron tomados a partir un Sistema ... |
Article
Nonlinear MPC for Tracking for a Class of Non-Convex Admissible Output Sets
(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 ... |
Article
Stock Forecasting Using Local Data
(Institute of Electrical and Electronics Engineers Inc. (IEEE), 2020)
Stock price forecasting is a relevant and challenging problem that has attracted a lot of interest from engineers and ... |
Article
A Nonlinear Technical Indicator Selection Approach for Stock Markets. Application to the Chinese Stock Market
(MDPI, 2020)
In this paper we present a combinatorial nonlinear technical indicator approach for the identification of appropriate ... |
Article
Neural Networks in Narrow Stock Markets
(MDPI, 2020)
Narrow markets are typically considered those that due to limited liquidity or peculiarities in its investor base, such ... |
Article
Predictive control of a water distribution system based on process historian data
(Wiley, 2020)
In this paper, a heuristic historian data-based predictive control strategy is presented and used to control a water ... |
Final Degree Project
Implementación de un algoritmo de selección de características para predicción del precio de acciones bursátiles
(2020)
El objetivo de este proyecto es el desarrollo de un algoritmo combinacional que hace uso de ciertos indicadores técnicos ... |
Final Degree Project
Prototipo de Ball & Plate para control con retroalimentación visual y CUDA
(2020)
El presente proyecto consiste en el diseño y la construcción de un sistema multivariable ball & plate, compuesto por una ... |
Master's Final Project
Control offset-free basado en datos de la planta de los cuatro tanques
(2020)
La modelización de sistemas siempre ha supuesto un problema a la hora de tratar de controlar un sistema. Aunque existen ... |
PhD Thesis
Data based predictive control: Application to water distribution networks
(2019)
In this thesis, the main goal is to propose novel data based predictive controllers to cope with complex industrial ... |
Article
Offset free data driven control: application to a process control trainer
(Institution of Engineering and Technology (IET) and Wiley Open Access, 2019)
This work presents a data driven control strategy able to track a set point without steady-state error. The control sequence ... |
Article
Min-Max Predictive Control of a Five-Phase Induction Machine
(MDPI, 2019)
In this paper, a fuzzy-logic based operator is used instead of a traditional cost function for the predictive stator current ... |
Master's Final Project
Control predictivo basado en partículas y simulaciones de Montecarlo
(2019)
El Control Predictivo basado en Modelo es, desde su aparición, una de las estrategias de control avanzado más populares y ... |
Master's Final Project
Actualización y control basado en datos de un proceso de cuatro tanques interconectados
(2018)
El control de procesos es una parte esencial para obtener resultados de unas determinadas características de forma que ... |
Master's Final Project
Control basado en datos de un proceso de laboratorio
(2018)
Este trabajo ha consistido en la implementación sobre un sistema del laboratorio, concretamente un Feedback Process Control ... |
Final Degree Project
Implementación paralela de algoritmos de control y optimización en CUDA
(2018)
Tradicionalmente, el desarrollo de algoritmos siempre ha estado sujeto a la recepción secuencial de instrucciones de los ... |
Final Degree Project
Procesamiento masivamente paralelo en control predictivo basado en datos
(2017)
Durante mucho tiempo, la computación paralela ha estado relegada a supercomputadores de grandes centros de investigación. ... |
PhD Thesis
On randomized algorithms and their applications in robust optimization: Algoritmos aleatorios y aplicaciones en optimización robusta
(2014)
Las aéreas que han sido abordadas en la tesis y q se pueden considerar para trabajo futuro son: * Aplicación a CUDA * ... |
Article
Computational burden reduction in Min-Max MPC
(Elsevier, 2011)
Min–max model predictive control (MMMPC) is one of the strategies used to control plants subject to bounded uncertainties. ... |
Article
Model predictive control techniques for hybrid systems
(Elsevier, 2010)
This paper describes the main issues encountered when applying model predictive control to hybrid processes. Hybrid model ... |
PhD Thesis
Efficient and robust techniques for predictive control of nonlinear processes
(2010)
El control predictivo basado en modelo (MPC, del inglés Model Predictive Control) ha experimentado un gran desarrollo en ... |
Presentation
Feedback control ideas for call center staffing
(Taylor & Francis, 2009)
Call centers are nowadays a widespread solution to deal with customer support and as platform for different kind of business. ... |
Presentation
Min-Max Predictive Control of a Pilot Plant using a QP Approach
(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 ... |
Article
A new vertex result for robustness problems with interval matrix uncertainty
(Elsevier, 2008)
This paper1 addresses a family of robustness problems in which the system under consideration is affected by interval ... |
Article
Min–max MPC using a tractable QP problem
(Elsevier, 2007)
Min–max model predictive controllers (MMMPC) suffer from a great computational burden that is often circumvented by using ... |
Presentation
A Java based simulation for basic control
(Elsevier, 2006)
In this paper we present a java based simulator for control education in basiccourses. The application has been ... |
Article
Min-Max MPC based on a computationally efficient upper bound of the worst case cost
(Elsevier, 2006)
Min-Max MPC (MMMPC) controllers [P.J. Campo, M. Morari, Robust model predictive control, in: Proc. American Control ... |
Presentation
Computationally efficient min-max MPC
(Elsevier, 2005)
Min-Max MPC (MMMPC) controllers (Campo and Morari, 1987) suffer from a great computational burden that is often circumvented ... |
Presentation
Min-max model predictive control as a quadratic program
(Elsevier, 2005)
This paper deals with the implementation of min-max model predictive control for constrained linear systems with bounded ... |
Article
Implementation of min–max MPC using hinging hyperplanes. Application to a heat exchanger
(Elsevier, 2004)
Min–max model predictive control (MMMPC) is one of the few control techniques able to cope with modelling errors or ... |
| PhD Thesis |
Presentation
Neural Network Based Min-Max Predictive Control. Application to a Heat Exchanger
(Elsevier, 2001)
Min-max model predictive controllers (MMMPC) have been proposed for the control of linear plants subject to bounded ... |
Presentation
Linealidad a trozos de la ley de Control Min-Max MPC con norma cuadrática e incertidumbres acotadas
(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 ... |