Xiaohui An
Papers
1
Total Citations
20
H-Index
1
About
Xiaohui An is a control systems researcher whose work focuses on advancing the robustness and efficiency of robotic manipulator systems. Their most-cited contribution, "Observer-based event-triggered sliding mode tracking control for uncertain robotic manipulator systems" (2023), has garnered 20 citations, highlighting its impact on the field. An's research addresses critical challenges in nonlinear control, particularly the integration of observer-based estimation with event-triggered mechanisms to reduce communication load while maintaining high tracking precision under uncertainty. This work is notable for its practical relevance to industrial robotics and autonomous systems, where energy efficiency and real-time performance are paramount. By combining sliding mode control with event-triggered strategies, An has provided a framework that enhances system resilience against disturbances and model inaccuracies. Their contributions are especially valuable for students and researchers exploring advanced control methodologies for uncertain dynamic systems, offering a bridge between theoretical rigor and application-ready solutions.
Research Focus
Key Achievements
Top Papers
- 1