Papers
2
Total Citations
5
H-Index
2
About
Xingyu Ma is a rising researcher in advanced control systems, specializing in model-free and fractional-order control strategies for mechatronic and robotic systems. Their work addresses critical challenges in system reliability, particularly under actuator failures—a key concern in real-world automation. Ma’s most notable contribution is the development of a model-free fractional-order finite-time control with prescribed performance, a 2024 paper that has already garnered 3 citations for its novel approach to maintaining system stability and precision despite component faults. Building on this, their 2022 study on adaptive model-free control with a supervising switching technique for robotic manipulators introduces a time-delay estimator combined with proportional-differential control, achieving robust performance without complex system models. Though early in their career, Ma’s focus on practical, fault-tolerant solutions—integrating time-delay estimation and ultra-local models—positions them as an innovator in resilient automation. Their work is particularly valuable for students and engineers seeking to understand how advanced control can ensure safety and efficiency in autonomous systems, from manufacturing robots to aerospace actuators.
Research Focus
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Top Papers
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