Papers
32
Total Citations
309
H-Index
9
About
Dr. Duc Thien Tran is a leading researcher in advanced robotics control, specializing in adaptive and intelligent control strategies for robotic manipulators and mobile systems. His work centers on overcoming critical challenges in robotic autonomy, including unknown dynamics, actuator faults, and environmental uncertainties. Dr. Tran’s most impactful contributions include developing adaptive nonsingular fast terminal sliding mode control enhanced by neural networks, which dramatically improves tracking precision and robustness in robotic manipulators—a method that has garnered 46 citations. He has also pioneered adaptive sliding mode control using Nussbaum functions to handle unknown friction and control direction, and output feedback control with linear extended state observers for manipulators facing output constraints and input dead-zones. His research extends to synchronization control for closed-kinematic chain robots and fault-tolerant control for parallel manipulators. With over 200 total citations, Dr. Tran’s work is widely recognized for its practical relevance, addressing real-world issues like parameter variation, friction, and system faults. His innovative integration of neural networks, fuzzy logic, and sliding mode control continues to shape the future of robust and adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
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- 8Kinematics, Dynamics and Control Design for a 4-DOF Robotic Manipulator14 citations · 2021
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