What is he best known for?
The fields of study he is best known for:
- Control theory
- Voltage
- Electrical engineering
Cesar Silva spends much of his time researching Control theory, Model predictive control, Voltage, Electronic engineering and Converters.
His Control theory research incorporates elements of Pulse-width modulation and Topology.
His study in Model predictive control is interdisciplinary in nature, drawing from both Control engineering, Inverter, Performance control and Permanent magnet synchronous motor.
His studies in Inverter integrate themes in fields like Digital control and Current.
As a part of the same scientific family, Cesar Silva mostly works in the field of Voltage, focusing on Modulation and, on occasion, Voltage optimisation.
The various areas that Cesar Silva examines in his Electronic engineering study include Control system, Electrical engineering and Harmonics.
His most cited work include:
- Predictive Current Control of a Voltage Source Inverter (1096 citations)
- Delay Compensation in Model Predictive Current Control of a Three-Phase Inverter (536 citations)
- Predictive Current Control Strategy With Imposed Load Current Spectrum (315 citations)
What are the main themes of his work throughout his whole career to date?
Control theory, Electronic engineering, Model predictive control, Voltage and Control engineering are his primary areas of study.
His Control theory study integrates concerns from other disciplines, such as Pulse-width modulation, Vector control and Inverter.
His Electronic engineering research includes elements of Total harmonic distortion, Converters, Waveform, Harmonics and AC power.
His studies deal with areas such as Steady state, Digital control, Switching frequency and Current as well as Model predictive control.
His Voltage research is multidisciplinary, incorporating perspectives in Fault, Compensation and Magnet.
His biological study spans a wide range of topics, including Kalman filter and Electronic speed control.
He most often published in these fields:
- Control theory (72.12%)
- Electronic engineering (32.69%)
- Model predictive control (30.77%)
What were the highlights of his more recent work (between 2014-2020)?
- Control theory (72.12%)
- Model predictive control (30.77%)
- Control engineering (23.08%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Control theory, Model predictive control, Control engineering, Control theory and Modulation.
His Control theory study incorporates themes from Vector control, Direct torque control and Converters, Voltage.
The study incorporates disciplines such as Electronic engineering, Reference frame and Variable structure control in addition to Converters.
He has researched Model predictive control in several fields, including Safety constraints, AC power, Reliability engineering and Electronic speed control.
Cesar Silva combines subjects such as Discretization and Induction machine with his study of Control engineering.
His Modulation research is multidisciplinary, relying on both Pulse-width modulation and Matrix converters.
Between 2014 and 2020, his most popular works were:
- Predictive Torque Control of a Multidrive System Fed by a Dual Indirect Matrix Converter (51 citations)
- MPC Implementation of a Quasi-Time-Optimal Speed Control for a PMSM Drive, With Inner Modulated-FS-MPC Torque Control (50 citations)
- Full Predictive Cascaded Speed and Current Control of an Induction Machine (28 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Electrical engineering
- Voltage
His primary scientific interests are in Control theory, Control engineering, Model predictive control, Vector control and Direct torque control.
Cesar Silva has included themes like Modulation and Matrix converters in his Control theory study.
His Modulation study combines topics from a wide range of disciplines, such as Pulse-width modulation, Waveform, Power electronics and Transient response.
His Control engineering research includes themes of Compensation, Converters, Rectifier, Frame and Topology.
Model predictive control and Voltage reference are frequently intertwined in his study.
His Torque research integrates issues from Control system, Radio frequency, AC power and Automatic control.
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