What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Thermodynamics
His primary areas of study are Control theory, Control theory, Control engineering, Automotive engineering and Vehicle dynamics.
His Control theory study frequently links to related topics such as Model predictive control.
His work carried out in the field of Control theory brings together such families of science as Electronic stability control, Lyapunov function and Feed forward.
His work is dedicated to discovering how Control engineering, Control are connected with Advanced driver assistance systems and other disciplines.
The concepts of his Automotive engineering study are interwoven with issues in Work output, Ignition system, Mechanics and Torque.
His studies in Vehicle dynamics integrate themes in fields like Automobile handling and Slip angle.
His most cited work include:
- Integrating Inertial Sensors With Global Positioning System (GPS) for Vehicle Dynamics Control (160 citations)
- Collision Avoidance and Stabilization for Autonomous Vehicles in Emergency Scenarios (141 citations)
- Estimation of Tire Slip Angle and Friction Limits Using Steering Torque (120 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Control theory, Control theory, Control engineering, Vehicle dynamics and Automotive engineering.
As part of his studies on Control theory, J. Christian Gerdes frequently links adjacent subjects like Model predictive control.
His Control theory study integrates concerns from other disciplines, such as Feed forward, Control, Simulation, Envelope and Yaw.
He has researched Control engineering in several fields, including Lyapunov function, Electronic stability control, Advanced driver assistance systems and Electronic speed control.
He interconnects Iterative learning control, Automobile handling and Slip angle in the investigation of issues within Vehicle dynamics.
In his study, Fuel injection is inextricably linked to Work output, which falls within the broad field of Automotive engineering.
He most often published in these fields:
- Control theory (57.79%)
- Control theory (40.91%)
- Control engineering (27.92%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (57.79%)
- Trajectory (16.88%)
- Control theory (40.91%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Control theory, Trajectory, Control theory, Control and Model predictive control.
His work on Vehicle dynamics and Control system is typically connected to Obstacle as part of general Control theory study, connecting several disciplines of science.
The study incorporates disciplines such as Nonlinear programming and Mathematical optimization in addition to Trajectory.
His Control theory research incorporates elements of Stability, Spin, State space and Rotation.
His studies deal with areas such as Intersection, Simulation and Pedestrian as well as Control.
His biological study deals with issues like Contingency plan, which deal with fields such as Hazard and Toy problem.
Between 2018 and 2021, his most popular works were:
- Game Theoretic Planning for Self-Driving Cars in Competitive Scenarios (23 citations)
- Neural network vehicle models for high-performance automated driving. (20 citations)
- Vehicle control synthesis using phase portraits of planar dynamics (18 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Thermodynamics
J. Christian Gerdes mostly deals with Control theory, Vehicle control, Model predictive control, Trajectory and Game theoretic.
His Control theory study frequently involves adjacent topics like Predictive controller.
The various areas that J. Christian Gerdes examines in his Vehicle control study include Nonlinear control and Equilibrium point.
His Model predictive control study is concerned with the field of Control as a whole.
His work in the fields of Trajectory, such as Trajectory optimization, overlaps with other areas such as Obstacle.
Among his research on Game theoretic, you can see a combination of other fields of science like Self driving and Operations research.
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.
