Papers
3
Total Citations
161
H-Index
3
About
Linzhi Liu is a control systems researcher whose work centers on robust and fault-tolerant control strategies for uncertain robot manipulators, with a particular emphasis on sliding mode control theory and finite-time stability. Liu's most influential contribution, "Continuous Finite-Time Control for Uncertain Robot Manipulators with Integral Sliding Mode" (2018), has garnered over 120 citations and introduced a chattering-free integral terminal sliding mode control scheme that elegantly addresses parametric uncertainties and external disturbances — longstanding challenges in robotic control systems. Building on this foundation, Liu extended the framework to fault-tolerant scenarios, presenting a robust fixed-time fault-tolerant tracking controller capable of handling actuator effectiveness faults under uncertain dynamics, work that has attracted 29 citations since its 2020 publication. Most recently, Liu's 2023 research advanced adaptive fault-tolerant tracking control by introducing a novel integral sliding manifold with an auxiliary function, demonstrating a continued commitment to practical, implementable solutions. Collectively, Liu's contributions represent a coherent and progressively sophisticated research agenda aimed at making robotic systems more resilient, precise, and reliable in real-world operating conditions — work of growing relevance as autonomous robotic applications continue to expand.
Research Focus
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