Yongmin Li
Papers
3
Total Citations
30
H-Index
3
About
Dr. Yongmin Li is a control theorist specializing in the stabilization and robust control of complex nonlinear systems. His research addresses fundamental challenges in ensuring system safety and performance under uncertainty, with a particular focus on stochastic dynamics and state constraints. Dr. Li’s most impactful work, “Global fixed-time event-triggered control for stochastic nonlinear systems with full state constraints” (2023, 20 citations), introduces a pioneering framework that guarantees convergence within a fixed time while efficiently managing communication resources, a critical advancement for networked and autonomous systems. His earlier contributions include “Global state feedback stabilization of nonlinear systems with unknown functions” (2021, 7 citations), which provides a rigorous method for stabilizing systems with unmodeled dynamics. Dr. Li has also made notable strides in robotics, as demonstrated in “Robust neural network control of robotic manipulators via switching strategy” (2015, 3 citations), where he developed an adaptive scheme using radial basis function networks to handle switching dynamics in manipulators. By integrating event-triggered mechanisms, neural network approximation, and robust control, Dr. Li’s work offers practical solutions for modern engineering systems, from robotic arms to autonomous vehicles, with a clear trajectory toward greater efficiency and reliability.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3