Yunda Yan
Papers
2
Total Citations
72
H-Index
2
About
Yunda Yan is a leading researcher in advanced control systems, with a primary focus on motion control, disturbance rejection, and nonlinear dynamics. Their work centers on developing robust control strategies for complex electromechanical systems, particularly those plagued by multiple disturbances or underactuated configurations. Yan’s major contributions include pioneering a nonlinear-disturbance-observer-enhanced model predictive control (MPC) method, which significantly improves tracking accuracy in motion control systems by predicting and compensating for disturbances in real time—a breakthrough cited 44 times. Additionally, their design of a continuous output feedback sliding mode controller for underactuated flexible-joint robots (28 citations) addresses critical challenges in precision and stability for flexible robotic systems, offering a practical solution without the need for full-state measurement. Yan’s research has been widely recognized for bridging theoretical control advancements with real-world applications, such as industrial robotics and automated manufacturing. With over 70 combined citations, their work continues to influence both academic research and engineering practice, making them a key figure in the evolution of disturbance-resilient control systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2