Papers
2
Total Citations
24
H-Index
2
About
Lanfeng Hua is a rising researcher in advanced control theory, specializing in robust and secure control of complex multi-agent systems and robotic manipulators. Their work addresses critical challenges in distributed coordination under uncertainty, particularly focusing on sliding-mode control techniques. Hua’s most-cited paper (2024, 22 citations) pioneers a distributed sliding-mode consensus tracking framework for fuzzy delayed multi-agent systems subjected to hybrid cyber-attacks—including deception and denial-of-service threats—modeled through impulsive and switching signals. This contribution is vital for ensuring resilient operation of networked systems in adversarial environments. More recently, Hua has extended sliding-mode control to robotic manipulators (2025), tackling impulsive and external disturbances for precise trajectory tracking. Though early in their career, Hua’s research demonstrates significant potential for impact in cyber-physical systems, autonomous robotics, and secure control. Their work bridges theoretical rigor with practical challenges, offering solutions for safety-critical applications where communication delays and cyber threats compromise system performance.
Research Focus
Key Achievements
Top Papers
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