What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Control theory
- Voltage
Aleksandar M. Stankovic focuses on Control theory, Electric power system, Control engineering, Electronic engineering and Phasor.
His work in Control theory addresses issues such as Ripple, which are connected to fields such as Torque ripple and Machine control.
His Electric power system research is multidisciplinary, relying on both Lyapunov stability and Benchmark.
His study on Quantitative feedback theory is often connected to Modular design as part of broader study in Control engineering.
Aleksandar M. Stankovic studied Electronic engineering and Converters that intersect with Pulse-width modulation and Modulation.
His studies deal with areas such as Symmetrical components, Polyphase system, Thyristor and Capacitor as well as Phasor.
His most cited work include:
- Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions (2469 citations)
- Causes of the 2003 major grid blackouts in North America and Europe, and recommended means to improve system dynamic performance (954 citations)
- Modeling and simulation of power electronic converters (421 citations)
What are the main themes of his work throughout his whole career to date?
Aleksandar M. Stankovic spends much of his time researching Control theory, Electric power system, Control engineering, Electronic engineering and Phasor.
His research in Control theory intersects with topics in Pulse-width modulation, Induction motor and Voltage.
His study in Electric power system focuses on Power system simulation in particular.
Aleksandar M. Stankovic combines subjects such as Torque ripple, Control system, AC power and Torque with his study of Control engineering.
His research in Electronic engineering focuses on subjects like Converters, which are connected to Power electronics.
His study looks at the relationship between Phasor and fields such as Transient, as well as how they intersect with chemical problems.
He most often published in these fields:
- Control theory (66.48%)
- Electric power system (34.07%)
- Control engineering (20.33%)
What were the highlights of his more recent work (between 2017-2021)?
- Control theory (66.48%)
- Electric power system (34.07%)
- Phasor (15.93%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Control theory, Electric power system, Phasor, Algorithm and Reduction.
His Control theory research includes elements of Power factor, Transformer, Voltage, Stator and Rotor.
His Electric power system research is multidisciplinary, incorporating elements of Control engineering, Boundary, Benchmark, Nonlinear system and Differential geometry.
His work carried out in the field of Control engineering brings together such families of science as Stability, Transmission and Electronics.
He has included themes like Harmonic analysis, Observability and Network packet in his Phasor study.
His Reduction research incorporates elements of Transient and Metric.
Between 2017 and 2021, his most popular works were:
- Port-Controlled Phasor Hamiltonian Modeling and IDA-PBC Control of Solid-State Transformer (27 citations)
- Information Geometry Approach to Verification of Dynamic Models in Power Systems (8 citations)
- Data-Driven Dynamic Equivalents for Power System Areas From Boundary Measurements (7 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Control theory
- Voltage
His primary areas of investigation include Control theory, Electric power system, Rotor, Control engineering and Benchmark.
His work deals with themes such as Power factor, Transformer and Solid modeling, which intersect with Control theory.
In his study, he carries out multidisciplinary Electric power system and Dynamic load testing research.
His study on Rotor also encompasses disciplines like
- LTI system theory together with DC-BUS and Pulse-width modulation,
- Position which intersects with area such as Frequency domain,
- Observer together with Stator, Control theory, Fault detection and isolation, Synchronous motor and AC motor.
The Machine control research Aleksandar M. Stankovic does as part of his general Control engineering study is frequently linked to other disciplines of science, such as System identification, therefore creating a link between diverse domains of science.
His Benchmark study combines topics in areas such as Mathematical optimization and Sensitivity.
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