About

Hui Liu is a prominent control systems researcher whose work centers on robust and fault-tolerant control of robotic manipulators, with particular expertise in sliding mode control theory and adaptive control techniques. His research addresses some of the most pressing challenges in robotics: ensuring reliable, precise trajectory tracking in the presence of system uncertainties, modeling errors, and actuator faults — conditions that are inevitable in real-world applications. Liu's most influential contribution, "Adaptive Fixed-Time Fault-Tolerant Tracking Control and Its Application for Robot Manipulators" (2021, 129 citations), introduced a sophisticated fixed-time sliding mode framework paired with adaptive estimation, enabling manipulators to maintain performance despite actuator effectiveness faults within a guaranteed time bound. His earlier foundational work on integral sliding mode control for rigid-body manipulators (2008, 83 citations) established practical alternatives to computationally demanding computed torque methods, making robust control more feasible for real-time implementation. His continued research in 2023 further refined these adaptive fault-tolerant strategies through novel sliding manifold designs. With over 220 cumulative citations, Liu's contributions have meaningfully advanced both theoretical control design and practical robotic engineering, making him a valuable reference for researchers working at the intersection of robotics, nonlinear control, and fault-tolerant systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
224
Total Citations
75
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive Fixed-Time Fault-Tolerant Tracking Control and Its Application for Robot Manipulators
129 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Xi’an University of Posts and Telecommunications, Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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