Y Liang
Papers
1
Total Citations
4
H-Index
1
About
Y Liang is a researcher in advanced control systems, focusing on the robust and adaptive control of uncertain robotic systems. Their key research areas include nonlinear dynamics, constraint handling, and input nonlinearities such as dead-zone effects. Liang’s major contribution lies in developing innovative time-varying feedback strategies that ensure precise tracking control even under challenging conditions, such as output constraints and uncertain system parameters. Their most-cited work, "Tracking control via time-varying feedback for an uncertain robotic system with both output constraint and dead-zone input" (2024), has garnered 4 citations, reflecting its emerging impact in the field. This paper addresses critical real-world challenges in robotics, where safety and performance must be maintained despite actuator imperfections and physical limits. Liang’s research is notable for bridging theoretical control design with practical implementation, offering solutions that enhance the reliability and efficiency of robotic systems. Their work is particularly relevant for students and researchers interested in nonlinear control, robotics, and mechatronics, providing a foundation for further exploration into robust control methodologies.
Research Focus
Key Achievements
Top Papers
- 1