YA-Jun Ma
Papers
2
Total Citations
13
H-Index
2
About
YA-Jun Ma is a control systems researcher whose work focuses on the robust and adaptive control of uncertain robot manipulators. His major contributions lie in developing advanced sliding mode control strategies that ensure high-precision trajectory tracking even in the presence of unknown disturbances and system uncertainties. His most cited work, a 2021 paper on a robust adaptive dual layer sliding mode controller, has garnered 11 citations and introduces a novel two-layer structure that significantly improves tracking accuracy. More recently, in 2025, Ma has pioneered an event-triggered control scheme that combines an adaptive super-twisting algorithm, reducing communication load while maintaining system stability. This work, with 2 citations, represents a cutting-edge approach to efficient, real-time robotic control. Ma’s research is highly relevant for students and engineers working on the practical challenges of robot manipulator control, offering elegant solutions that balance robustness, adaptability, and computational efficiency.
Research Focus
Key Achievements
Top Papers
- 1
- 2