Lihong Huang
Papers
1
Total Citations
5
H-Index
1
About
Lihong Huang is a leading researcher in advanced control systems, specializing in event-triggered control, fuzzy logic systems, and Markov jump dynamics. Their work addresses critical challenges in the stability and performance of complex networked systems, particularly those subject to random delays and uncertainties. Huang’s most-cited paper, "Quantized event-triggered-based finite-time H∞ control for interval type-2 fuzzy Markov jump systems with random coupling delays" (2024), introduces a novel framework that combines quantized event-triggered mechanisms with interval type-2 fuzzy models to achieve finite-time H∞ control. This contribution is pivotal for real-time applications in cyber-physical systems, where communication constraints and time-varying delays are prevalent. With 5 citations already, the paper underscores Huang’s ability to bridge theoretical rigor with practical relevance. Their work is notable for advancing robust control strategies that ensure system resilience under stochastic disturbances, making a significant impact on the fields of automation, robotics, and intelligent control. Huang’s research continues to inspire innovations in secure and efficient system design.
Research Focus
Key Achievements
Top Papers
- 1