What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Control theory
- Electrical engineering
Electronic engineering, Control theory, Model predictive control, Converters and Inverter are his primary areas of study.
The Electronic engineering study combines topics in areas such as Power factor, Pulse-width modulation, Power electronics, Voltage and Topology.
His Control theory research incorporates elements of Total harmonic distortion, Direct torque control, Filter and Modulation.
His biological study spans a wide range of topics, including Control system, Control engineering, Control theory, Machine control and Digital control.
His studies deal with areas such as Network topology, Voltage source and H bridge as well as Converters.
While the research belongs to areas of Inverter, he spends his time largely on the problem of Capacitor, intersecting his research to questions surrounding Electronic circuit.
His most cited work include:
- Multilevel inverters: a survey of topologies, controls, and applications (5048 citations)
- Recent Advances and Industrial Applications of Multilevel Converters (2513 citations)
- Multilevel Voltage-Source-Converter Topologies for Industrial Medium-Voltage Drives (1800 citations)
What are the main themes of his work throughout his whole career to date?
Jose Rodriguez mostly deals with Control theory, Model predictive control, Electronic engineering, Voltage and Converters.
His Control theory research includes themes of Power, Pulse-width modulation, Inverter and AC power.
In his study, which falls under the umbrella issue of Model predictive control, Control is strongly linked to Control engineering.
His study focuses on the intersection of Electronic engineering and fields such as Power factor with connections in the field of Rectifier.
His study in the field of Capacitor, Voltage source and Transformer also crosses realms of Common-mode signal.
Converters and Network topology are frequently intertwined in his study.
He most often published in these fields:
- Control theory (46.88%)
- Model predictive control (36.38%)
- Electronic engineering (22.25%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (46.88%)
- Model predictive control (36.38%)
- Voltage (19.23%)
In recent papers he was focusing on the following fields of study:
Jose Rodriguez spends much of his time researching Control theory, Model predictive control, Voltage, Torque and Converters.
Jose Rodriguez interconnects Power, Induction motor and Weighting in the investigation of issues within Control theory.
His Model predictive control research is multidisciplinary, incorporating elements of Control system, Grid, Power electronics, Function and Inverter.
Jose Rodriguez usually deals with Voltage and limits it to topics linked to Topology and Network topology.
His Converters research is multidisciplinary, incorporating perspectives in Control engineering and Robust control.
His Capacitor study combines topics in areas such as Inductor, Transformer and Electronic engineering.
Between 2018 and 2021, his most popular works were:
- A Very Simple Strategy for High-Quality Performance of AC Machines Using Model Predictive Control (75 citations)
- Model Predictive Control of a Multilevel CHB STATCOM in Wind Farm Application Using Diophantine Equations (41 citations)
- Modulated Model-Predictive Control With Optimized Overmodulation (25 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Control theory
- Electrical engineering
Jose Rodriguez focuses on Control theory, Model predictive control, Voltage, Weighting and Torque.
The various areas that Jose Rodriguez examines in his Control theory study include Function, Converters and Inverter.
He has researched Converters in several fields, including Grid, Harmonic analysis, Topology and Capacitor voltage.
His work in Inverter tackles topics such as Modulation which are related to areas like Pulse-width modulation.
The study incorporates disciplines such as Power, Voltage reference, Power electronics, Microgrid and Induction motor in addition to Model predictive control.
The concepts of his Network topology study are interwoven with issues in Electronic engineering and Transformer.
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