Daniel R. Ramírez

Orcid: 0000-0002-8962-5984

Affiliations:
  • University of Seville, Department of Systems Engineering and Automation, Spain


According to our database1, Daniel R. Ramírez authored at least 42 papers between 1999 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Kernel-Based State-Space Kriging for Predictive Control.
IEEE CAA J. Autom. Sinica, May, 2023

2022
A simple rotor current estimation method for predictive control of multi-phase drives.
Int. J. Circuit Theory Appl., December, 2022

Probabilistically Certified Management of Data Centers Using Predictive Control.
IEEE Trans Autom. Sci. Eng., 2022

Probabilistic Interval Predictor Based on Dissimilarity Functions.
IEEE Trans. Autom. Control., 2022

State-Space Kriging: A Data-Driven Method to Forecast Nonlinear Dynamical Systems.
IEEE Control. Syst. Lett., 2022

Kernel based State-Space Kriging: Application to predictive control.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Nonlinear MPC for Tracking for a Class of Nonconvex Admissible Output Sets.
IEEE Trans. Autom. Control., 2021

Reference dependent invariant sets: Sum of squares based computation and applications in constrained control.
Autom., 2021

Receding Horizon Optimization of Large Trade Orders.
IEEE Access, 2021

Stock Forecasting Using Local Data.
IEEE Access, 2021

2020
Neural Networks in Narrow Stock Markets.
Symmetry, 2020

Nonlinear MPC for Tracking for a Class of Non-Convex Admissible Output Sets.
CoRR, 2020

Elimination of Redundant Polynomial Constraints and Its Use in Constrained Control.
CoRR, 2020

Particle based Optimization for Predictive Energy Efficient Data Center Management.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Data Driven Control: An Offset Free Approach.
Proceedings of the 17th European Control Conference, 2019

Learning-based predictive control for MIMO systems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Historian Data Based Predictive Control of a Water Distribution Network.
Proceedings of the 16th European Control Conference, 2018

2015
Randomized methods for design of uncertain systems: Sample complexity and sequential algorithms.
Autom., 2015

2013
The Sample Complexity of Randomized Methods for Analysis and Design of Uncertain Systems
CoRR, 2013

Distributed Model Predictive Control techniques applied to an irrigation canal.
Proceedings of the 12th European Control Conference, 2013

2012
Randomized control design through probabilistic validation.
Proceedings of the American Control Conference, 2012

2011
Computational burden reduction in min-max MPC.
J. Frankl. Inst., 2011

2010
Real-Time Implementation of a Constrained MPC for Efficient Airflow Control in a PEM Fuel Cell.
IEEE Trans. Ind. Electron., 2010

Model predictive control techniques for hybrid systems.
Annu. Rev. Control., 2010

A convex approach for NMPC based on second order Volterra series models.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Nonlinear Min-Max Model Predictive Control based on Volterra models. Application to a pilot plant.
Proceedings of the 10th European Control Conference, 2009

Feedback control ideas for call center staffing.
Proceedings of the 10th European Control Conference, 2009

2008
A new vertex result for robustness problems with interval matrix uncertainty.
Syst. Control. Lett., 2008

Min-Max predictive control of a pilot plant using a QP approach.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Min-Max Model Predictive Control of a pilot plant.
Proceedings of the American Control Conference, 2008

2007
Min-max MPC using a tractable QP problem.
Autom., 2007

Constrained explicit predictive control strategies for PEM fuel cell systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Explicit solution of min-max MPC with additive uncertainties and quadratic criterion.
Syst. Control. Lett., 2006

Piecewise affinity of min-max MPC with bounded additive uncertainties and a quadratic criterion.
Autom., 2006

2005
Min-Max MPC using a tractable QP Problem.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Min-max predictive control of a heat exchanger using a neural network solver.
IEEE Trans. Control. Syst. Technol., 2004

2003
On the piecewise linear nature of constrained min-max model predictive control with bounded uncertainties.
Proceedings of the American Control Conference, 2003

2002
Efficient implementation of constrained min-max model predictive control with bounded uncertainties.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

Characterization of min-max MPC with bounded uncertainties and a quadratic criterion.
Proceedings of the American Control Conference, 2002

2001
Genetic algorithms based predictive control for mobile robot navigation in changing environments.
Proceedings of the 6th European Control Conference, 2001

On the piecewise linear nature of min-max model predictive control with bounded uncertainties.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

1999
Nonlinear MBPC for Mobile Robot Navigation Using Genetic Algorithms.
Proceedings of the 1999 IEEE International Conference on Robotics and Automation, 1999


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