Daniel R. Ramírez

Publication Activity (10 Years)

Years Active: 1999-2022
Publications (10 Years): 17

Top Topics

Predictive Control

Sample Complexity

Top Venues

IEEE Trans. Autom. Control.

Publications

A. Daniel Carnerero, Daniel R. Ramírez, Teodoro Alamo
State-Space Kriging: A Data-Driven Method to Forecast Nonlinear Dynamical Systems. IEEE Control. Syst. Lett. 6 (2022)
A. Daniel Carnerero, Daniel R. Ramírez, Teodoro Alamo
Kernel based State-Space Kriging: Application to predictive control. CDC (2022)
A. Daniel Carnerero, Daniel R. Ramírez, Teodoro Alamo
Probabilistic Interval Predictor Based on Dissimilarity Functions. IEEE Trans. Autom. Control. 67 (12) (2022)
A. Daniel Carnerero, Daniel R. Ramírez, Teodoro Alamo, Daniel Limón
Probabilistically Certified Management of Data Centers Using Predictive Control. IEEE Trans Autom. Sci. Eng. 19 (4) (2022)
Andres Cotorruelo, Daniel R. Ramírez, Daniel Limón, Emanuele Garone
Nonlinear MPC for Tracking for a Class of Nonconvex Admissible Output Sets. IEEE Trans. Autom. Control. 66 (8) (2021)
Gerardo Alfonso, A. Daniel Carnerero, Daniel R. Ramírez, Teodoro Alamo
Receding Horizon Optimization of Large Trade Orders. IEEE Access 9 (2021)
Gerardo Alfonso, A. Daniel Carnerero, Daniel R. Ramírez, Teodoro Alamo
Stock Forecasting Using Local Data. IEEE Access 9 (2021)
Andres Cotorruelo, Mehdi Hosseinzadeh, Daniel R. Ramírez, Daniel Limón, Emanuele Garone
Reference dependent invariant sets: Sum of squares based computation and applications in constrained control. Autom. 129 (2021)
A. Daniel Carnerero, Daniel R. Ramírez, Daniel Limón, Teodoro Alamo
Particle based Optimization for Predictive Energy Efficient Data Center Management. CDC (2020)
Andres Cotorruelo, Daniel R. Ramírez, Daniel Limón, Emanuele Garone
Nonlinear MPC for Tracking for a Class of Non-Convex Admissible Output Sets. CoRR (2020)
A. Daniel Carnerero, Daniel R. Ramírez, Teodoro Alamo
Probabilistic interval predictor based on dissimilarity functions. CoRR (2020)
Andres Cotorruelo, Ilya V. Kolmanovsky, Daniel R. Ramírez, Daniel Limón, Emanuele Garone
Elimination of Redundant Polynomial Constraints and Its Use in Constrained Control. CoRR (2020)
Gerardo Alfonso, Daniel R. Ramírez
Neural Networks in Narrow Stock Markets. Symmetry 12 (8) (2020)
Andres Cotorruelo, Mehdi Hosseinzadeh, Daniel R. Ramírez, Daniel Limón, Emanuele Garone
Reference Dependent Invariant Sets: Sum of Squares Based Computation and Applications in Constrained Control. CoRR (2020)
Jose R. Salvador, Daniel R. Ramírez, Teodoro Alamo, David Muñoz de la Peña, G. García-Marín
Data Driven Control: An Offset Free Approach. ECC (2019)
Jose R. Salvador, Enrico Terzi, Marcello Farina, Daniel R. Ramírez, Lorenzo Fagiano, David Muñoz de la Peña, Riccardo Scattolini
Learning-based predictive control for MIMO systems. CDC (2019)
Jose R. Salvador, David Muñoz de la Peña, Daniel R. Ramírez, Teodoro Alamo
Historian Data Based Predictive Control of a Water Distribution Network. ECC (2018)
Teodoro Alamo, Roberto Tempo, Amalia Luque, Daniel R. Ramírez
Randomized methods for design of uncertain systems: Sample complexity and sequential algorithms. Autom. 52 (2015)
Teodoro Alamo, Roberto Tempo, Amalia Luque, Daniel R. Ramírez
The Sample Complexity of Randomized Methods for Analysis and Design of Uncertain Systems CoRR (2013)
Antonio Álvarez, Miguel A. Ridao, Daniel R. Ramírez, Laura Sánchez
Distributed Model Predictive Control techniques applied to an irrigation canal. ECC (2013)
Teodoro Alamo, Amalia Luque, Daniel R. Ramírez, Roberto Tempo
Randomized control design through probabilistic validation. ACC (2012)
Daniel R. Ramírez, Teodoro Alamo, Eduardo F. Camacho
Computational burden reduction in min-max MPC. J. Frankl. Inst. 348 (9) (2011)
Alicia Arce, Alejandro del Real, Carlos Bordons, Daniel R. Ramírez
Real-Time Implementation of a Constrained MPC for Efficient Airflow Control in a PEM Fuel Cell. IEEE Trans. Ind. Electron. 57 (6) (2010)
Jorn Klaas Gruber, Teodoro Alamo, Daniel R. Ramírez, Carlos Bordons, Eduardo F. Camacho
A convex approach for NMPC based on second order Volterra series models. CDC (2010)
Eduardo F. Camacho, Daniel R. Ramírez, Daniel Limón, David Muñoz de la Peña, Teodoro Alamo
Model predictive control techniques for hybrid systems. Annu. Rev. Control. 34 (1) (2010)
Manuel Ruiz Arahal, Daniel R. Ramírez, Eduardo F. Camacho
Feedback control ideas for call center staffing. ECC (2009)
Eduardo F. Camacho, Daniel R. Ramírez, Daniel Limón, David Muñoz de la Peña, Teodoro Alamo
Model Predictive Control techniques for Hybrid Systems. ADHS (2009)
Jorn Klaas Gruber, Daniel R. Ramírez, Teodoro Alamo, Carlos Bordons
Nonlinear Min-Max Model Predictive Control based on Volterra models. Application to a pilot plant. ECC (2009)
Teodoro Alamo, Roberto Tempo, Daniel R. Ramírez, Eduardo F. Camacho
A new vertex result for robustness problems with interval matrix uncertainty. Syst. Control. Lett. 57 (6) (2008)
Jorn Klaas Gruber, Daniel R. Ramírez, Teodoro Alamo, Carlos Bordons, Eduardo F. Camacho
Min-Max predictive control of a pilot plant using a QP approach. CDC (2008)
Jorn Klaas Gruber, Daniel R. Ramírez, Teodoro Alamo, Carlos Bordons, Eduardo F. Camacho
Min-Max Model Predictive Control of a pilot plant. ACC (2008)
Alicia Arce, Daniel R. Ramírez, Alejandro J. del Real, Carlos Bordons
Constrained explicit predictive control strategies for PEM fuel cell systems. CDC (2007)
Teodoro Alamo, Daniel R. Ramírez, David Muñoz de la Peña, Eduardo F. Camacho
Min-max MPC using a tractable QP problem. Autom. 43 (4) (2007)
David Muñoz de la Peña, Daniel R. Ramírez, Eduardo F. Camacho, Teodoro Alamo
Explicit solution of min-max MPC with additive uncertainties and quadratic criterion. Syst. Control. Lett. 55 (4) (2006)
Daniel R. Ramírez, Eduardo F. Camacho
Piecewise affinity of min-max MPC with bounded additive uncertainties and a quadratic criterion. Autom. 42 (2) (2006)
Daniel R. Ramírez, Manuel Ruiz Arahal, Eduardo F. Camacho
Min-max predictive control of a heat exchanger using a neural network solver. IEEE Trans. Control. Syst. Technol. 12 (5) (2004)
Daniel R. Ramírez, Eduardo F. Camacho
On the piecewise linear nature of constrained min-max model predictive control with bounded uncertainties. ACC (2003)
Daniel R. Ramírez, Eduardo F. Camacho
On the piecewise linear nature of constrained min-max model predictive control with bounded uncertainties. ACC (2003)
Daniel R. Ramírez, Eduardo F. Camacho
Characterization of min-max MPC with bounded uncertainties and a quadratic criterion. ACC (2002)
Daniel R. Ramírez, Teodoro Alamo, Eduardo F. Camacho
Efficient implementation of constrained min-max model predictive control with bounded uncertainties. CDC (2002)
Juan Gómez Ortega, Daniel R. Ramírez, Daniel Limón Marruedo, Eduardo F. Camacho
Genetic algorithms based predictive control for mobile robot navigation in changing environments. ECC (2001)
Daniel R. Ramírez, Eduardo F. Camacho
On the piecewise linear nature of min-max model predictive control with bounded uncertainties. CDC (2001)
Daniel R. Ramírez, Daniel Limón, Juan Gómez Ortega, Eduardo F. Camacho
Nonlinear MBPC for Mobile Robot Navigation Using Genetic Algorithms. ICRA (1999)