2004 - IEEE Fellow For contributions to robotic control and computer-integrated manufacturing systems.
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.
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.
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.
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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Service-Oriented Smart-Home Architecture Based on OSGi and Mobile-Agent Technology
Chao-Lin Wu;Chun-Feng Liao;Li-Chen Fu.
systems man and cybernetics (2007)
Robust adaptive decentralized control of robot manipulators
IEEE Transactions on Automatic Control (1992)
Model-Free Predictive Current Control for Interior Permanent-Magnet Synchronous Motor Drives Based on Current Difference Detection Technique
Cheng-Kai Lin;Tian-Hua Liu;Jen-te Yu;Li-Chen Fu.
IEEE Transactions on Industrial Electronics (2014)
Robust Location-Aware Activity Recognition Using Wireless Sensor Network in an Attentive Home
Ching-Hu Lu;Li-Chen Fu.
IEEE Transactions on Automation Science and Engineering (2009)
Globally stable robust tracking of nonlinear systems using variable structure control and with an application to a robotic manipulator
L.-C. Fu;T.-L. Liao.
IEEE Transactions on Automatic Control (1990)
Adaptive stabilization of a class of uncertain switched nonlinear systems with backstepping control
Ming-Li Chiang;Li-Chen Fu.
Human-Centered Robot Navigation—Towards a Harmoniously Human–Robot Coexisting Environment
Chi-Pang Lam;Chen-Tun Chou;Kuo-Hung Chiang;Li-Chen Fu.
IEEE Transactions on Robotics (2011)
Nonlinear adaptive control for flexible-link manipulators
Jung Hua Yang;Feng Li Lian;Li Chen Fu.
international conference on robotics and automation (1997)
WLAN location determination in e-home via support vector classification
Chao-Lin Wu;Li-Chen Fu;Feng-Li Lian.
international conference on networking, sensing and control (2004)
An adaptive control scheme for coordinated multimanipulator systems
J.-H. Jean;L.-C. Fu.
international conference on robotics and automation (1993)
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