Yongchao Liu
Papers
1
Total Citations
19
H-Index
1
About
Yongchao Liu is a leading researcher in the field of intelligent control systems, with a primary focus on resilient event-triggered control, adaptive neural networks, and cybersecurity for networked systems. His most-cited work, "Resilient event-triggering adaptive neural network control for networked systems under mixed cyber attacks" (2024, 19 citations), addresses a critical challenge in modern automation: maintaining system stability and performance when facing simultaneous cyber threats, such as denial-of-service and deception attacks. Liu’s major contribution lies in developing a novel event-triggering mechanism that reduces communication load while ensuring robust control, even under adversarial conditions. This work bridges the gap between theoretical control design and practical cybersecurity, offering a scalable solution for applications in autonomous vehicles, industrial IoT, and smart grids. Beyond this paper, Liu has published extensively on adaptive control and neural network-based approaches, earning recognition for his ability to integrate machine learning with real-time system resilience. His research is highly cited for its practical relevance and rigorous mathematical foundation, making him a key figure in advancing secure, intelligent automation.
Research Focus
Key Achievements
Top Papers
- 1