Lei Yan
Papers
1
Total Citations
22
H-Index
1
About
Lei Yan is an emerging researcher making significant contributions at the intersection of control systems theory, multi-agent systems, and cybersecurity-aware control design. His work focuses on the challenging problem of maintaining reliable coordination and consensus in networked multi-agent systems operating under adversarial conditions — a topic of growing importance as autonomous and cyber-physical systems become increasingly prevalent in real-world applications. Yan's most notable contribution addresses the critical challenge of distributed sliding-mode consensus tracking control for fuzzy multi-agent systems subjected to time-varying transmission delays and hybrid cyber-attacks, including deception attacks and denial-of-service (DoS) attacks. By innovatively incorporating impulsive and switching signal frameworks alongside fuzzy logic approaches, his research provides robust theoretical tools for ensuring system stability and performance even under malicious network interference. This work has already garnered 22 citations since its 2024 publication, a remarkable early-stage impact that signals strong community interest in his findings. Yan's research sits at a vital crossroads of robust control theory, networked systems, and cybersecurity, addressing real-world vulnerabilities in distributed intelligent systems. His contributions are particularly valuable for students and researchers working on secure autonomous systems, smart grids, and resilient networked control architectures.
Research Focus
Key Achievements
Top Papers
- 1