What is he best known for?
The fields of study he is best known for:
- Control theory
- Mechanical engineering
- Electrical engineering
Mrdjan J. Jankovic focuses on Control theory, Automotive engineering, Nonlinear system, Lyapunov function and Exhaust gas recirculation.
His Control theory research focuses on Robust control, Nonlinear control, Adaptive control, Backstepping and Exponential stability.
He focuses mostly in the field of Adaptive control, narrowing it down to topics relating to Feedback passivation and, in certain cases, Benchmark.
In Backstepping, Mrdjan J. Jankovic works on issues like Passivity, which are connected to Root locus and Lyapunov stability.
His study on Automotive engineering is mostly dedicated to connecting different topics, such as Spark.
His Exhaust gas recirculation research includes themes of Turbocharger and Diesel fuel.
His most cited work include:
- Constructive Nonlinear Control (1528 citations)
- Control Lyapunov-Razumikhin functions and robust stabilization of time delay systems (351 citations)
- Constructive Lyapunov control design for turbocharged diesel engines (283 citations)
What are the main themes of his work throughout his whole career to date?
Mrdjan J. Jankovic mainly focuses on Control theory, Automotive engineering, Internal combustion engine, Nonlinear system and Control engineering.
Lyapunov function, Control theory, Exponential stability, Robust control and Robustness are among the areas of Control theory where the researcher is concentrating his efforts.
His research integrates issues of Nonlinear control, Quadratic programming and Adaptive control in his study of Lyapunov function.
The concepts of his Automotive engineering study are interwoven with issues in Torque and Turbocharger.
His Nonlinear system study combines topics in areas such as Observer and Feed forward.
The various areas that he examines in his Backstepping study include Passivity and Feedback passivation.
He most often published in these fields:
- Control theory (49.58%)
- Automotive engineering (41.67%)
- Internal combustion engine (15.83%)
What were the highlights of his more recent work (between 2014-2021)?
- Control theory (49.58%)
- Automotive engineering (41.67%)
- Control theory (12.50%)
In recent papers he was focusing on the following fields of study:
Mrdjan J. Jankovic mainly investigates Control theory, Automotive engineering, Control theory, Control engineering and Turbocharger.
His Control theory study integrates concerns from other disciplines, such as Wastegate and Quadratic programming.
His work deals with themes such as Lyapunov function and Robust control, which intersect with Quadratic programming.
Mrdjan J. Jankovic combines subjects such as Control system, Gas compressor and Torque with his study of Automotive engineering.
In his research on the topic of Internal model, Linearization is strongly related with Adaptive control.
His Backstepping study in the realm of Nonlinear system interacts with subjects such as Control.
Between 2014 and 2021, his most popular works were:
- Robust control barrier functions for constrained stabilization of nonlinear systems (41 citations)
- Composite Adaptive Internal Model Control and Its Application to Boost Pressure Control of a Turbocharged Gasoline Engine (30 citations)
- System and method for selective cylinder deactivation (27 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mechanical engineering
- Electrical engineering
His scientific interests lie mostly in Control theory, Control engineering, Automotive engineering, Nonlinear system and Quadratic programming.
All of his Control theory and Control theory, Transfer function and Feed forward investigations are sub-components of the entire Control theory study.
His work is dedicated to discovering how Automotive engineering, Model predictive control are connected with Powertrain and Thermal management of electronic devices and systems and other disciplines.
As part of the same scientific family, he usually focuses on Nonlinear system, concentrating on Robustness and intersecting with Mathematical optimization, Minimum norm and Aerospace electronics.
His Quadratic programming research is multidisciplinary, relying on both Exponential stability, Lyapunov function and Robust control.
His studies deal with areas such as Adaptive control and Linearization as well as Wastegate.
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