Papers

1

Total Citations

22

H-Index

1

About

Shouming Zhong is a leading figure in the control theory of complex networked systems, with a primary focus on fuzzy multi-agent systems, sliding-mode control, and cyber-physical security. His most-cited work, “Distributed Sliding-Mode Consensus Tracking Control for Fuzzy Delayed Multiagent Systems Under Hybrid Cyber-Attacks” (2024, 22 citations), introduces a groundbreaking framework that addresses the dual challenges of time-varying transmission delays and sophisticated hybrid cyber-attacks—specifically deception and denial-of-service (DoS) attacks. By ingeniously employing impulsive and switching signals to model attack dynamics, Zhong’s research provides robust, real-time solutions for maintaining consensus tracking in uncertain, adversarial environments. This work not only advances theoretical understanding but also offers practical tools for securing autonomous systems, smart grids, and robotic networks. With a growing citation impact, Zhong’s contributions are pivotal for researchers and engineers tackling resilience in distributed control. His innovative approach to integrating sliding-mode techniques with fuzzy logic under attack scenarios marks a significant achievement, positioning him as a key innovator in the next generation of secure, adaptive multi-agent systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
22
Total Citations
22
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: 6
🏛 Institutions: University of Electronic Science and Technology of China

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago