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

2
H-Index
2
Papers
24
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Distributed Sliding-Mode Consensus Tracking Control for Fuzzy Delayed Multiagent Systems Under Hybrid Cyber-Attacks
22 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Electronic Science and Technology of China

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago