What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Operating system
Li-Chen Fu mainly focuses on Control theory, Control engineering, Adaptive control, Artificial intelligence and Computer vision.
His research in Control theory focuses on subjects like Bounded function, which are connected to Minimum phase and Computer simulation.
His study in Control engineering is interdisciplinary in nature, drawing from both Decentralised system and Motion control.
Li-Chen Fu combines subjects such as Fuzzy control system, Fuzzy logic, Maglev, Magnetic levitation and Robust control with his study of Adaptive control.
His Home automation research extends to Artificial intelligence, which is thematically connected.
His studies deal with areas such as Ballistic missile, Missile and Focus as well as Control theory.
His most cited work include:
- Service-Oriented Smart-Home Architecture Based on OSGi and Mobile-Agent Technology (183 citations)
- Model-Free Predictive Current Control for Interior Permanent-Magnet Synchronous Motor Drives Based on Current Difference Detection Technique (129 citations)
- Robust adaptive decentralized control of robot manipulators (126 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Control theory, Artificial intelligence, Adaptive control, Control engineering and Control theory.
His research integrates issues of Computer vision and Pattern recognition in his study of Artificial intelligence.
Li-Chen Fu has researched Adaptive control in several fields, including Nonlinear control, Tracking error, Residual and Adaptive system.
Li-Chen Fu focuses mostly in the field of Control engineering, narrowing it down to matters related to Maglev and, in some cases, Positioning system.
As part of one scientific family, he deals mainly with the area of Control theory, narrowing it down to issues related to the Induction motor, and often Rotor.
His Robot research is multidisciplinary, incorporating perspectives in Simulation and Human–computer interaction.
He most often published in these fields:
- Control theory (38.44%)
- Artificial intelligence (26.09%)
- Adaptive control (21.41%)
What were the highlights of his more recent work (between 2012-2021)?
- Artificial intelligence (26.09%)
- Computer vision (18.75%)
- Robot (11.25%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Artificial intelligence, Computer vision, Robot, Control theory and Human–computer interaction.
The Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition.
Many of his studies involve connections with topics such as Detector and Computer vision.
His Control theory research includes themes of Control engineering and State.
He has researched Human–computer interaction in several fields, including Robot learning, Personal robot, Human–robot interaction, Inference and Reinforcement learning.
His study in Control theory focuses on Adaptive control in particular.
Between 2012 and 2021, his most popular works were:
- Model-Free Predictive Current Control for Interior Permanent-Magnet Synchronous Motor Drives Based on Current Difference Detection Technique (129 citations)
- Adaptive stabilization of a class of uncertain switched nonlinear systems with backstepping control (102 citations)
- Output Feedback Sliding Mode Control for a Stewart Platform With a Nonlinear Observer-Based Forward Kinematics Solution (42 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Operating system
His primary areas of study are Artificial intelligence, Computer vision, Robot, Control theory and Machine learning.
His Artificial intelligence study combines topics in areas such as Relation and Human–computer interaction.
His study in Computer vision is interdisciplinary in nature, drawing from both Pedestrian and Mobile robot.
His studies deal with areas such as Object, Torque and Service as well as Robot.
His Control theory study in the realm of Control theory interacts with subjects such as Horizontal scan rate.
His study of Adaptive control is a part of Control theory.
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