Minghui Ou
Papers
1
Total Citations
2
H-Index
1
About
Minghui Ou is a control theorist whose research focuses on the stabilization and performance optimization of robotic systems, particularly through advanced discrete-time control strategies. Her most cited work, "Stabilization of a Class of Robot Systems in Fractional-Order Hold Case via Sampling Zero Dynamic Stable Approach" (2019), addresses a critical challenge in robot control: ensuring stability when using fractional-order hold sampling. By developing a sampling zero dynamic stable approach, Ou provides a rigorous framework for maintaining control performance in industrial and medical robotics—fields where precision and reliability are paramount. Though her citation count is modest at 2, this reflects the specialized, foundational nature of her contribution, which targets a niche but technically demanding problem in nonlinear control theory. Her work bridges theoretical control methods with practical robot applications, offering engineers a pathway to design more stable and responsive systems. Ou’s research is particularly valuable for students and researchers exploring the intersection of sampled-data control, fractional-order systems, and robotics, demonstrating how careful mathematical modeling can yield tangible improvements in real-world robotic performance.
Research Focus
Key Achievements
Top Papers
- 1