Liang Shan
Papers
1
Total Citations
2
H-Index
1
About
Liang Shan’s research centers on the control and stabilization of robotic systems, with a particular focus on the intersection of sampled-data control theory and nonlinear dynamics. His work addresses critical challenges in ensuring stability and performance for robots operating in real-world environments, such as industrial automation and medical applications. One of his notable contributions is the development of a stabilization framework for a class of robot systems using a fractional-order hold approach, combined with sampling zero dynamic stable techniques. This work, published in 2019, provides a rigorous method for maintaining system stability under discrete-time control, a key issue when digital controllers interact with continuous physical systems. While his most-cited paper has garnered 2 citations, it reflects foundational ideas that contribute to the broader field of robot control theory. Shan’s research is particularly valuable for students and engineers seeking to understand how advanced control strategies can bridge the gap between theoretical stability guarantees and practical robot performance. His focus on sampling effects and zero dynamics highlights a nuanced approach to solving real-world control problems in robotics.
Research Focus
Key Achievements
Top Papers
- 1