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Jose Rodriguez

Researcher at Andrés Bello National University

Publications -  1039
Citations -  68908

Jose Rodriguez is an academic researcher from Andrés Bello National University. The author has contributed to research in topics: Model predictive control & Converters. The author has an hindex of 93, co-authored 803 publications receiving 58176 citations. Previous affiliations of Jose Rodriguez include University of Miami & April.

Papers
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Survey on Fault Operation on Multilevel Inverters

TL;DR: It can be concluded that multilevel inverters can significantly increase their availability and are able to operate even with some faulty components.
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Predictive Current Control Strategy With Imposed Load Current Spectrum

TL;DR: In this article, a modified predictive current control strategy is presented, which allows one to have control over the spectrum of the load current using a model of the system to predict the behavior of the current for each possible voltage vector generated by the inverter.
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Control Strategies Based on Symmetrical Components for Grid-Connected Converters Under Voltage Dips

TL;DR: Simulation and experimental results show that all three controllers meet LVRT requirements, although different system performance is found for each control approach, and controller selection depends on the system constraints and the type of preferred performance features.
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The Essential Role and the Continuous Evolution of Modulation Techniques for Voltage-Source Inverters in the Past, Present, and Future Power Electronics

TL;DR: There have been significant advances in the field of modulation of dc/ac converters, which conceptually has been dominated during the last several decades almost exclusively by classic pulse-width modulation (PWM) methods.
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Predictive Torque and Flux Control Without Weighting Factors

TL;DR: A predictive torque and flux control of an induction machine drive fed by a three-phase two-level voltage source inverter is developed and the proposed strategy replaces the single cost function with a multiobjective optimization based on a ranking approach.