Diego Muñoz Carpintero ● Profesor Asistente

An Online Decision-Making Strategy for Routing of Electric Vehicle Fleets

DOI: http://dx.doi.org/10.1016/j.ins.2022.12.108

AC Battery: Modular Layout with Cell-level Degradation Control

A Non-cooperative Game-theoretic Distributed Control Approach for Power Quality Compensators

The Photovoltaic Greenhouse as Energy Hub for a More Sustainable Agriculture

DOI: http://dx.doi.org/10.1109/ICA-ACCA56767.2022.10006135

Convergence of stochastic nonlinear systems and implications for Stochastic Model Predictive Control

DOI: http://dx.doi.org/10.1109/tac.2020.3011845

Fuzzy Interval Modelling based on Joint Supervision

DOI: http://dx.doi.org/10.1109/fuzz48607.2020.9177779

Predictive Control based on Fuzzy Optimization for Multi-Room HVAC Systems

DOI: http://dx.doi.org/10.1109/fuzz48607.2020.9177830

AN EVOLUTIONARY ALGORITHM FOR THE ELECTRIC VEHICLE ROUTING PROBLEM WITH BATTERY DEGRADATION AND CAPACITATED CHARGING STATIONS

DOI: http://dx.doi.org/10.36001/phmconf.2020.v12i1.1281

Hierarchical Energy Management System for Microgrid Operation Based on Robust Model Predictive Control

DOI: http://dx.doi.org/10.3390/en12234453

On the convergence of stochastic MPC to terminal modes of operation

DOI: http://dx.doi.org/10.23919/ecc.2019.8795946

A new method for identification of fuzzy models with controllability constraints

DOI: http://dx.doi.org/10.1016/j.asoc.2018.08.023

Stochastic Model Predictive Control with adaptive constraint tightening for non-conservative chance constraints satisfaction

DOI: http://dx.doi.org/10.1016/j.automatica.2018.06.026

A Robust Predictive Control Strategy for Building HVAC Systems Based on Interval Fuzzy Models

DOI: http://dx.doi.org/10.1109/fuzz-ieee.2018.8491442

An approach to Prognosis-Decision-Making for route calculation of an electric vehicle considering stochastic traffic information

Robust MPC strategy with optimized polytopic dynamics for linear systems with additive and multiplicative uncertainty

DOI: http://dx.doi.org/10.1016/j.sysconle.2015.03.008

A Methodology Based on Evolutionary Algorithms to Solve a Dynamic Pickup and Delivery Problem Under a Hybrid Predictive Control Approach

DOI: http://dx.doi.org/10.1287/trsc.2014.0569

Striped Parameterized Tube Model Predictive Control

DOI: http://dx.doi.org/10.3182/20140824-6-za-1003.00362

Efficient prediction strategies for disturbance compensation in stochastic MPC

DOI: http://dx.doi.org/10.1080/00207721.2012.737487

Recursively feasible Robust MPC for linear systems with additive and multiplicative uncertainty using optimized polytopic dynamics

DOI: http://dx.doi.org/10.1109/cdc.2013.6760029

Efficient robust output feedback MPC

Offline tube design for efficient implementation of parameterized tube model predictive control

DOI: http://dx.doi.org/10.1109/cdc.2012.6426246

On prediction strategies in stochastic MPC

DOI: http://dx.doi.org/10.1109/icca.2011.6137899

Hybrid predictive control design with mixed inputs based on PSO and its application for control of a Batch Reactor

DOI: http://dx.doi.org/10.1109/cec.2010.5586325

Evolutionary algorithms and fuzzy clustering for control of a dynamic vehicle routing problem oriented to user policy

DOI: http://dx.doi.org/10.1109/cec.2010.5586534

Hybrid Adaptive Predictive Control for a Dynamic Pickup and Delivery Problem

DOI: http://dx.doi.org/10.1287/trsc.1080.0251

Striped Parameterized Tube Model Predictive Control

DOI: http://dx.doi.org/10.1016/j.automatica.2015.12.032