What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Mechanical engineering
Junmin Wang focuses on Control theory, Automotive engineering, Control engineering, Control theory and Control system.
His Control theory study frequently draws connections between adjacent fields such as Motion control.
His Automotive engineering study integrates concerns from other disciplines, such as Torque and Model predictive control.
His Control engineering study incorporates themes from Electric vehicle and Control reconfiguration.
His Control theory research is multidisciplinary, incorporating elements of State vector and CAN bus.
His Control system research incorporates themes from Control, Automatic control, NOx and Selective catalytic reduction.
His most cited work include:
- Development and performance characterization of an electric ground vehicle with independently actuated in-wheel motors (221 citations)
- Coordinated and Reconfigurable Vehicle Dynamics Control (203 citations)
- Combined AFS and DYC Control of Four-Wheel-Independent-Drive Electric Vehicles over CAN Network with Time-Varying Delays (198 citations)
What are the main themes of his work throughout his whole career to date?
Junmin Wang mostly deals with Control theory, Automotive engineering, Diesel engine, Control theory and Control engineering.
As a part of the same scientific study, Junmin Wang usually deals with the Control theory, concentrating on Motion control and frequently concerns with Torque.
His work deals with themes such as Control system and Selective catalytic reduction, which intersect with Automotive engineering.
His biological study deals with issues like Homogeneous charge compression ignition, which deal with fields such as Diesel cycle.
His Control theory research includes elements of Fault tolerance and Model predictive control.
His Control engineering research is multidisciplinary, incorporating perspectives in Electric vehicle and Electronic stability control.
He most often published in these fields:
- Control theory (52.63%)
- Automotive engineering (38.01%)
- Diesel engine (23.39%)
What were the highlights of his more recent work (between 2017-2021)?
- Control theory (52.63%)
- Control theory (19.30%)
- Trajectory (8.19%)
In recent papers he was focusing on the following fields of study:
Junmin Wang mainly investigates Control theory, Control theory, Trajectory, Automotive engineering and Model predictive control.
His Control theory study combines topics in areas such as Tracking and Motion control.
His Control theory study combines topics from a wide range of disciplines, such as Fault tolerance, Control, Actuator and Optimal control.
His studies deal with areas such as Control engineering, Stiffness and Yaw as well as Actuator.
His research investigates the connection between Automotive engineering and topics such as Selective catalytic reduction that intersect with problems in Sliding mode control.
His research integrates issues of Control system, Robustness and Slip in his study of Vehicle dynamics.
Between 2017 and 2021, his most popular works were:
- A New Delay-Compensation Scheme for Networked Control Systems in Controller Area Networks (69 citations)
- Improving Vehicle Handling Stability Based on Combined AFS and DYC System via Robust Takagi-Sugeno Fuzzy Control (39 citations)
- Driver-Assistance Lateral Motion Control for In-Wheel-Motor-Driven Electric Ground Vehicles Subject to Small Torque Variation (22 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Mechanical engineering
His primary areas of study are Control theory, Control theory, Trajectory, Nonlinear system and Vehicle dynamics.
His study in Control theory focuses on Control system and Robustness.
His studies in Control theory integrate themes in fields like Stability, Actuator, Model predictive control and Motion control.
As a member of one scientific family, Junmin Wang mostly works in the field of Nonlinear system, focusing on Observer and, on occasion, Diesel particulate filter, Applied mathematics and Diesel engine.
His Vehicle dynamics research is multidisciplinary, relying on both Envelope and Multi-objective optimization.
His study in the field of Rollover also crosses realms of Warning system.
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