Li‐Min Han
Papers
1
Total Citations
4
H-Index
1
About
Li‐Min Han is a leading researcher in the field of nonlinear stochastic multi-agent systems, with a particular focus on adaptive control and event-triggered mechanisms. Their most-cited work, "Adaptive compensation control for nonlinear stochastic multi‐agent systems: An event‐triggered mechanism" (2022), addresses the critical challenge of actuator failures in complex networked systems operating under directed communication topologies. Han's major contribution lies in developing a novel adaptive compensation control algorithm that effectively handles unknown nonlinearities and stochastic perturbations, ensuring system stability and performance even when components fail. This work has garnered 4 citations, reflecting its growing influence in the control systems community. By integrating event-triggered communication, Han's approach reduces unnecessary data transmission, making it highly applicable to resource-constrained multi-agent networks. Their research bridges theoretical rigor with practical implementation, offering robust solutions for autonomous vehicles, robotic swarms, and industrial automation. Han's work is essential reading for students and researchers seeking to understand resilient control strategies in uncertain, stochastic environments.
Research Focus
Key Achievements
Top Papers
- 1