Papers
5
Total Citations
67
H-Index
4
About
Yu-Sheng Lu is a leading figure in advanced motion and robotic control, specializing in disturbance rejection and precision manipulation. His work centers on developing robust control strategies that ensure stability and smooth performance in complex mechanical systems. Lu’s major contributions lie in the design of sliding-mode disturbance observers and perturbation estimators, which effectively handle system uncertainties and external disturbances without inducing harmful chattering. His seminal 2011 paper on a stability-guaranteed integral sliding disturbance observer (28 citations) provides a rigorous framework for systems with bounded disturbance derivatives, while his 2017 work on smooth motion control (19 citations) addresses constraints on high-order kinematic variables for rigid robotic manipulators. Earlier foundational research from 2002 (13 citations) introduced a chatter-free variable structure estimator for flexible robot joints, enhancing torque control robustness. More recently, Lu has explored low-frequency compensation for piezoelectric accelerometers (2021, 4 citations) and sliding-mode observers for manipulators with unbalanced payloads (2021, 3 citations). His work is highly valued for bridging theoretical rigor with practical implementation, making him a key resource for researchers tackling real-world challenges in robotics and motion control.
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