Nonlinear MBPC for Mobile Robot Navigation Using Genetic Algorithms. - Daniel R. Ramírez 001; Daniel Limón; Juan Gómez Ortega; Eduardo F. Camacho (ICRA, 1999)

On the piecewise linear nature of min-max model predictive control with bounded uncertainties. - Daniel R. Ramírez 001; Eduardo F. Camacho (CDC, 2001)

Genetic algorithms based predictive control for mobile robot navigation in changing environments. - Juan Gómez Ortega; Daniel R. Ramírez 001; Daniel Limón Marruedo; Eduardo F. Camacho (ECC, 2001)

Characterization of min-max MPC with bounded uncertainties and a quadratic criterion. - Daniel R. Ramírez 001; Eduardo F. Camacho (ACC, 2002)

Efficient implementation of constrained min-max model predictive control with bounded uncertainties. - Daniel R. Ramírez 001; Teodoro Alamo; Eduardo F. Camacho (CDC, 2002)

On the piecewise linear nature of constrained min-max model predictive control with bounded uncertainties. - Daniel R. Ramírez 001; Eduardo F. Camacho (ACC, 2003)

Min-max predictive control of a heat exchanger using a neural network solver. - Daniel R. Ramírez 001; Manuel Ruiz Arahal; Eduardo F. Camacho (IEEE Trans. Control. Syst. Technol., 2004)

Min-Max MPC using a tractable QP Problem. - Teodoro Alamo; Daniel R. Ramírez 001; David Muñoz de la Peña (CDC/ECC, 2005)

Piecewise affinity of min-max MPC with bounded additive uncertainties and a quadratic criterion. - Daniel R. Ramírez 001; Eduardo F. Camacho (Autom., 2006)

Explicit solution of min-max MPC with additive uncertainties and quadratic criterion. - David Muñoz de la Peña; Daniel R. Ramírez 001; Eduardo F. Camacho; Teodoro Alamo (Syst. Control. Lett., 2006)

Constrained explicit predictive control strategies for PEM fuel cell systems. - Alicia Arce; Daniel R. Ramírez 001; Alejandro J. del Real; Carlos Bordons (CDC, 2007)

Min-max MPC using a tractable QP problem. - Teodoro Alamo; Daniel R. Ramírez 001; David Muñoz de la Peña; Eduardo F. Camacho (Autom., 2007)

Min-Max Model Predictive Control of a pilot plant. - Jorn Klaas Gruber; Daniel R. Ramírez 001; Teodoro Alamo; Carlos Bordons; Eduardo F. Camacho (ACC, 2008)

Min-Max predictive control of a pilot plant using a QP approach. - Jorn Klaas Gruber; Daniel R. Ramírez 001; Teodoro Alamo; Carlos Bordons; Eduardo F. Camacho (CDC, 2008)

A new vertex result for robustness problems with interval matrix uncertainty. - Teodoro Alamo; Roberto Tempo; Daniel R. Ramírez 001; Eduardo F. Camacho (Syst. Control. Lett., 2008)

Feedback control ideas for call center staffing. - Manuel Ruiz Arahal; Daniel R. Ramírez 001; Eduardo F. Camacho (ECC, 2009)

Nonlinear Min-Max Model Predictive Control based on Volterra models. Application to a pilot plant. - Jorn Klaas Gruber; Daniel R. Ramírez 001; Teodoro Alamo; Carlos Bordons (ECC, 2009)

A convex approach for NMPC based on second order Volterra series models. - Jorn Klaas Gruber; Teodoro Alamo; Daniel R. Ramírez 001; Carlos Bordons; Eduardo F. Camacho (CDC, 2010)

Model predictive control techniques for hybrid systems. - Eduardo F. Camacho; Daniel R. Ramírez 001; Daniel Limón; David Muñoz de la Peña; Teodoro Alamo (Annu. Rev. Control., 2010)

Real-Time Implementation of a Constrained MPC for Efficient Airflow Control in a PEM Fuel Cell. - Alicia Arce; Alejandro del Real; Carlos Bordons; Daniel R. Ramírez 001 (IEEE Trans. Ind. Electron., 2010)

Computational burden reduction in min-max MPC. - Daniel R. Ramírez 001; Teodoro Alamo; Eduardo F. Camacho (J. Frankl. Inst., 2011)

Randomized control design through probabilistic validation. - Teodoro Alamo; Amalia Luque; Daniel R. Ramírez 001; Roberto Tempo (ACC, 2012)

Distributed Model Predictive Control techniques applied to an irrigation canal. - Antonio Álvarez; Miguel A. Ridao; Daniel R. Ramírez 001; Laura Sánchez (ECC, 2013)

The Sample Complexity of Randomized Methods for Analysis and Design of Uncertain Systems - Teodoro Alamo; Roberto Tempo; Amalia Luque; Daniel R. Ramírez 001 (CoRR, 2013)

Randomized methods for design of uncertain systems: Sample complexity and sequential algorithms. - Teodoro Alamo; Roberto Tempo; Amalia Luque; Daniel R. Ramírez 001 (Autom., 2015)

Historian Data Based Predictive Control of a Water Distribution Network. - Jose R. Salvador; David Muñoz de la Peña; Daniel R. Ramírez 001; Teodoro Alamo (ECC, 2018)

Learning-based predictive control for MIMO systems. - Jose R. Salvador; Enrico Terzi; Marcello Farina; Daniel R. Ramírez 001; Lorenzo Fagiano; David Muñoz de la Peña; Riccardo Scattolini (CDC, 2019)

Data Driven Control: An Offset Free Approach. - Jose R. Salvador; Daniel R. Ramírez 001; Teodoro Alamo; David Muñoz de la Peña; G. García-Marín (ECC, 2019)

Particle based Optimization for Predictive Energy Efficient Data Center Management. - A. Daniel Carnerero; Daniel R. Ramírez 001; Daniel Limón; Teodoro Alamo (CDC, 2020)

Elimination of Redundant Polynomial Constraints and Its Use in Constrained Control. - Andres Cotorruelo; Ilya V. Kolmanovsky; Daniel R. Ramírez 001; Daniel Limón; Emanuele Garone (CoRR, 2020)

Nonlinear MPC for Tracking for a Class of Non-Convex Admissible Output Sets. - Andres Cotorruelo; Daniel R. Ramírez 001; Daniel Limón; Emanuele Garone (CoRR, 2020)

Neural Networks in Narrow Stock Markets. - Gerardo Alfonso; Daniel R. Ramírez 001 (Symmetry, 2020)

Stock Forecasting Using Local Data. - Gerardo Alfonso; A. Daniel Carnerero; Daniel R. Ramírez 001; Teodoro Alamo (IEEE Access, 2021)

Receding Horizon Optimization of Large Trade Orders. - Gerardo Alfonso; A. Daniel Carnerero; Daniel R. Ramírez 001; Teodoro Alamo (IEEE Access, 2021)

Reference dependent invariant sets: Sum of squares based computation and applications in constrained control. - Andres Cotorruelo; Mehdi Hosseinzadeh 002; Daniel R. Ramírez 001; Daniel Limón; Emanuele Garone (Autom., 2021)

Nonlinear MPC for Tracking for a Class of Nonconvex Admissible Output Sets. - Andres Cotorruelo; Daniel R. Ramírez 001; Daniel Limón; Emanuele Garone (IEEE Trans. Autom. Control., 2021)

Kernel based State-Space Kriging: Application to predictive control. - A. Daniel Carnerero; Daniel R. Ramírez 001; Teodoro Alamo (CDC, 2022)

State-Space Kriging: A Data-Driven Method to Forecast Nonlinear Dynamical Systems. - A. Daniel Carnerero; Daniel R. Ramírez 001; Teodoro Alamo (IEEE Control. Syst. Lett., 2022)

Probabilistic Interval Predictor Based on Dissimilarity Functions. - A. Daniel Carnerero; Daniel R. Ramírez 001; Teodoro Alamo (IEEE Trans. Autom. Control., 2022)

Probabilistically Certified Management of Data Centers Using Predictive Control. - A. Daniel Carnerero; Daniel R. Ramírez 001; Teodoro Alamo; Daniel Limón (IEEE Trans Autom. Sci. Eng., 2022)

A simple rotor current estimation method for predictive control of multi-phase drives. - Manuel G. Satué; Manuel R. Arahal; Manuel G. Ortega 001; Daniel R. Ramírez 001 (Int. J. Circuit Theory Appl., 2022)

Kernel-Based State-Space Kriging for Predictive Control. - A. Daniel Carnerero; Daniel R. Ramírez 001; Daniel Limón; Teodoro Alamo (IEEE CAA J. Autom. Sinica, 2023)

A data-driven CLF controller based on a kriged predictor. - A. Daniel Carnerero; Daniel R. Ramírez 001; Takeshi Hatanaka; Teodoro Alamo (CDC, 2024)