What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Mechanical engineering
Wei He mainly focuses on Control theory, Lyapunov function, Adaptive control, Boundary and Artificial neural network.
His work carried out in the field of Control theory brings together such families of science as Control engineering and Partial differential equation.
His Lyapunov function study incorporates themes from Vibration control and Stability theory.
His studies in Boundary integrate themes in fields like Iterative learning control and Hyperbolic function.
His biological study spans a wide range of topics, including Trajectory, Observer, Full state feedback, Robot and Robustness.
His Nonlinear system research is multidisciplinary, incorporating perspectives in Control, Artificial intelligence and Control theory.
His most cited work include:
- Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints (709 citations)
- Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation (502 citations)
- Surface engineering of electrospun polyethylene terephthalate (PET) nanofibers towards development of a new material for blood vessel engineering. (440 citations)
What are the main themes of his work throughout his whole career to date?
Wei He focuses on Control theory, Lyapunov function, Artificial neural network, Boundary and Vibration.
His Control theory research includes elements of Partial differential equation and Vibration control.
His studies deal with areas such as Stability, Exponential stability, Uniform boundedness and Boundary value problem as well as Lyapunov function.
His Artificial neural network research incorporates themes from Lyapunov stability, Control engineering, Observer, Robot and Trajectory.
His Drilling riser research extends to Boundary, which is thematically connected.
His research integrates issues of Bounded function and Adaptive system in his study of Adaptive control.
He most often published in these fields:
- Control theory (59.22%)
- Lyapunov function (25.16%)
- Artificial neural network (20.39%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (59.22%)
- Artificial neural network (20.39%)
- Robot (13.23%)
In recent papers he was focusing on the following fields of study:
Wei He spends much of his time researching Control theory, Artificial neural network, Robot, Control theory and Lyapunov function.
He has researched Control theory in several fields, including Vibration and Vibration control.
While the research belongs to areas of Vibration control, he spends his time largely on the problem of Boundary, intersecting his research to questions surrounding Partial differential equation.
Wei He combines subjects such as Robot manipulator, Adaptive control, Nonlinear system, Adaptive system and Robustness with his study of Artificial neural network.
His Robot research is multidisciplinary, relying on both Stability, Motion and Backstepping.
The Lyapunov function study combines topics in areas such as Uniform boundedness and Fuzzy logic.
Between 2019 and 2021, his most popular works were:
- Force Sensorless Admittance Control With Neural Learning for Robots With Actuator Saturation (31 citations)
- Dynamical Modeling and Boundary Vibration Control of a Rigid-Flexible Wing System (30 citations)
- Admittance-Based Controller Design for Physical Human–Robot Interaction in the Constrained Task Space (29 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Mechanical engineering
His main research concerns Control theory, Artificial neural network, Robot, Control theory and Trajectory.
His research in Control theory intersects with topics in Vibration and Bounded function.
In his study, Mechanical impedance, Robotics and Stiffness is inextricably linked to Impedance control, which falls within the broad field of Artificial neural network.
His work in Robot addresses subjects such as Stability, which are connected to disciplines such as Torque.
His Control theory research integrates issues from Robot kinematics, Camera resectioning and Nonlinear system.
The study incorporates disciplines such as Partial differential equation and Ordinary differential equation in addition to Lyapunov function.
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.
