What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Statistics
- Artificial intelligence
His main research concerns Model predictive control, Control theory, Energy management, Electric vehicle and Automotive engineering.
His research in Model predictive control intersects with topics in Choke, Cruise control and Adaptive control.
In the field of Control theory, his study on Vehicle dynamics and Hybrid system overlaps with subjects such as Air compressor and Compressor stall.
His Electric vehicle research is multidisciplinary, incorporating elements of Powertrain and Hybrid vehicle.
He regularly links together related areas like Optimal control in his Automotive engineering studies.
The Optimal control study which covers Minimization problem that intersects with Fuel efficiency.
His most cited work include:
- Proceedings of the American Control Conference (866 citations)
- Research advances in intelligent collision avoidance and adaptive cruise control (605 citations)
- A review of the main parameters influencing long-term performance and durability of PEM fuel cells (569 citations)
What are the main themes of his work throughout his whole career to date?
Ardalan Vahidi mostly deals with Control theory, Model predictive control, Automotive engineering, Optimal control and Simulation.
The Model predictive control study combines topics in areas such as Energy management, Electric vehicle, Control engineering, Feed forward and Fuel efficiency.
His Energy management study incorporates themes from Power management, Energy conservation and Hybrid vehicle.
His studies in Automotive engineering integrate themes in fields like Traffic flow, Urban road, Electricity meter, Powertrain and Efficient energy use.
Ardalan Vahidi combines subjects such as Transit bus, Real-time computing and Truck with his study of Simulation.
Ardalan Vahidi interconnects Choke and Cruise control in the investigation of issues within Control system.
He most often published in these fields:
- Control theory (32.48%)
- Model predictive control (30.77%)
- Automotive engineering (18.80%)
What were the highlights of his more recent work (between 2018-2021)?
- Efficient energy use (11.97%)
- Automotive engineering (18.80%)
- Optimal control (18.80%)
In recent papers he was focusing on the following fields of study:
Efficient energy use, Automotive engineering, Optimal control, Control theory and Energy are his primary areas of study.
His Automotive engineering study also includes
- VisSim which connect with Time headway, Smoothing, Automation and Control theory,
- Powertrain which intersects with area such as Stability, Control engineering and Driving cycle.
His Optimal control study combines topics in areas such as Organic Rankine cycle, Process engineering and Look-ahead.
The concepts of his Control theory study are interwoven with issues in Energy consumption, Tracking, Time horizon, Truck and Subject.
As part of one scientific family, Ardalan Vahidi deals mainly with the area of Time horizon, narrowing it down to issues related to the Motion, and often Model predictive control.
His Model predictive control research includes themes of Real-time computing, Markov chain and Anticipation.
Between 2018 and 2021, his most popular works were:
- Fundamentals of energy efficient driving for combustion engine and electric vehicles: An optimal control perspective (29 citations)
- Probabilistic Anticipation and Control in Autonomous Car Following (18 citations)
- A Vehicle-in-the-Loop (VIL) verification of an all-autonomous intersection control scheme (5 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Statistics
- Artificial intelligence
His scientific interests lie mostly in Efficient energy use, Automotive engineering, Energy-efficient driving, Model predictive control and Real-time computing.
His research on Automotive engineering frequently connects to adjacent areas such as Multi agent control.
In his papers, he integrates diverse fields, such as Model predictive control and Merge.
The various areas that Ardalan Vahidi examines in his Real-time computing study include Virtual test, Scheduling, Linear programming and Fuel efficiency.
His Aerodynamic drag research incorporates a variety of disciplines, including Control theory and Optimal control.
His Optimal control study frequently links to other fields, such as Simulation.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
