Yujing Pang
Papers
1
Total Citations
5
H-Index
1
About
Yujing Pang is a distinguished researcher in nonlinear control systems, specializing in the intersection of networked dynamics, fuzzy logic, and cybersecurity. Their work addresses critical challenges in singular jump systems—complex models that capture abrupt changes in system behavior—by pioneering hybrid control strategies that combine exponential approximation with event-triggered (ET) impulsive mechanisms. Pang’s 2024 paper on this topic, already garnering 5 citations, introduces a novel framework for state reconstruction under random actuator attacks, a pressing issue in modern networked control where malicious interference can destabilize critical infrastructure. This contribution is particularly impactful for autonomous systems, smart grids, and industrial automation, where resilience against cyber threats is paramount. By integrating fuzzy logic to handle uncertainty and impulsive control for rapid response, Pang has advanced the theoretical foundations of secure, real-time control. Their work not only demonstrates technical rigor but also offers practical pathways for safeguarding cyber-physical systems. With a growing citation footprint, Yujing Pang is emerging as a key voice in the next generation of control theorists, bridging the gap between abstract mathematics and real-world security challenges.
Research Focus
Key Achievements
Top Papers
- 1