Zhiying Shi
Papers
1
Total Citations
4
H-Index
1
About
Zhiying Shi is a rising researcher in the field of intelligent robotic control, with a focus on adaptive and neuroadaptive systems for constrained manipulators. Her work addresses critical challenges in motion control for uncertain robotic systems, particularly those operating under unknown nonlinear dynamics and external disturbances. In her highly cited 2023 paper, "Multilayer Neuroadaptive Output Feedback Control of Constrained Robotic Manipulators With Disturbance Compensation," Shi introduced an innovative control framework that relies solely on output position measurements—eliminating the need for full-state feedback. By integrating extended state observers with multilayer neural networks, her approach enables robust disturbance compensation and precise trajectory tracking, even in the presence of system uncertainties and physical constraints. This work has garnered early recognition with 4 citations, signaling its growing influence in the robotics and control communities. Shi’s contributions are particularly valuable for real-world applications where sensor limitations and environmental disturbances pose significant challenges. Her research continues to advance the frontiers of adaptive control, offering practical solutions for next-generation robotic systems in manufacturing, healthcare, and autonomous operations.
Research Focus
Key Achievements
Top Papers
- 1