What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Electrical engineering
His primary areas of investigation include Control theory, Control theory, Control engineering, Control system and Repetitive control.
As part of his studies on Control theory, Danwei Wang often connects relevant areas like Convergence.
His Control theory research is multidisciplinary, incorporating perspectives in Artificial neural network, Intelligent control, Tracking and Mobile robot.
His research in Control engineering intersects with topics in Compensation, Robotics, Actuator, Artificial intelligence and Torque.
His Control system study incorporates themes from Distributed algorithm, Robot and Computer network.
His Repetitive control research is multidisciplinary, incorporating perspectives in Total harmonic distortion, Harmonic distribution, Harmonics, Pulse-width modulation and Rate of convergence.
His most cited work include:
- Relationship between space-vector modulation and three-phase carrier-based PWM: a comprehensive analysis [three-phase inverters] (796 citations)
- Feedback stabilization and tracking of constrained robots (664 citations)
- Linear Phase Lead Compensation Repetitive Control of a CVCF PWM Inverter (195 citations)
What are the main themes of his work throughout his whole career to date?
Danwei Wang spends much of his time researching Control theory, Control engineering, Control theory, Iterative learning control and Robot.
His study in Control theory concentrates on Nonlinear system, Control system, Repetitive control, Robustness and Tracking error.
He studied Repetitive control and Pulse-width modulation that intersect with Converters and Electronic engineering.
His research integrates issues of Trajectory, Mobile robot and Fault detection and isolation in his study of Control engineering.
His Control theory study combines topics in areas such as Motion control, Tracking, Stability and Attitude control.
Danwei Wang has included themes like Active learning, Convergence, Iterative method, Frequency domain and Intelligent control in his Iterative learning control study.
He most often published in these fields:
- Control theory (62.39%)
- Control engineering (25.66%)
- Control theory (20.35%)
What were the highlights of his more recent work (between 2016-2021)?
- Control theory (62.39%)
- Robot (15.27%)
- Artificial intelligence (13.50%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Control theory, Robot, Artificial intelligence, Probabilistic logic and Computer vision.
His biological study spans a wide range of topics, including Control engineering, Tracking and Bounded function.
Danwei Wang interconnects Artificial neural network and Decentralised system in the investigation of issues within Control engineering.
His Robot study combines topics from a wide range of disciplines, such as Polishing and Human–computer interaction.
His Artificial intelligence research includes elements of Machine learning and Pattern recognition.
The various areas that he examines in his Angular velocity study include Control theory and Rigid body.
Between 2016 and 2021, his most popular works were:
- DOB-Based Neural Control of Flexible Hypersonic Flight Vehicle Considering Wind Effects (119 citations)
- Active Fault-Tolerant Control System Design for Spacecraft Attitude Maneuvers with Actuator Saturation and Faults (51 citations)
- Robust Control Allocation for Spacecraft Attitude Tracking Under Actuator Faults (51 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Electrical engineering
Danwei Wang mainly focuses on Control theory, Robot, Attitude control, Control engineering and Polishing.
His work on Actuator, Control theory and Nonlinear system as part of general Control theory study is frequently linked to Collision avoidance, therefore connecting diverse disciplines of science.
His Robot research incorporates elements of Probabilistic logic, Data mining and Sensor fusion.
His Attitude control study also includes
- Angular velocity that intertwine with fields like Rigid body, Lyapunov stability, Observer and Lyapunov function,
- Spacecraft, which have a strong connection to Fault tolerance, Control system, Fault detection and isolation and Fault.
His Control engineering research incorporates themes from Artificial neural network, Induction motor, Stuck-at fault and Vehicle tracking system.
As a part of the same scientific study, Danwei Wang usually deals with the Polishing, concentrating on Robot end effector and frequently concerns with Workspace, Simulation and Voice coil.
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