Manjiang Xia

Papers

Total Citations

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About

Manjiang Xia is a rising researcher in the field of robotic control systems, with a focused expertise in trajectory tracking, fault-tolerant control, and prescribed performance methodologies. His work addresses critical challenges in robotic manipulator precision and safety, particularly under uncertain or faulty conditions. Xia’s most cited paper, "Predefined-time prescribed performance fault-tolerant control for robotic manipulator trajectory tracking" (2025, 8 citations), introduces a novel framework that ensures robotic arms maintain high tracking accuracy within a user-defined time, even when actuators fail. Building on this, his second highly cited work, "Trajectory tracking control for robotic manipulators with prescribed performance based on predefined-time disturbance observer" (2025, 5 citations), integrates a disturbance observer to enhance robustness against external perturbations. Together, these contributions have garnered 13 citations in under a year, signaling strong early impact. Xia’s research is particularly notable for its practical implications in industrial automation and autonomous systems, where reliability and speed are paramount. His predefined-time approach offers a significant advancement over traditional asymptotic control methods, making his work a valuable reference for engineers and researchers seeking real-time, fail-safe robotic performance.