Yingnan Pan
Papers
1
Total Citations
2
H-Index
1
About
Yingnan Pan is a leading researcher in intelligent control systems, with a primary focus on adaptive control, fuzzy observer design, and the security of cyber-physical systems. Their work addresses critical challenges in nonlinear systems, particularly for robotic manipulators operating under complex constraints and malicious cyber threats. Pan's most cited research introduces a novel composite observer-based adaptive predefined-time control framework, which ensures both physical safety and dynamically adjustable response for n-link robotic manipulators subjected to deception attacks and full-state constraints. This pioneering approach, published in 2026 and already garnering 2 citations, demonstrates Pan's ability to solve pressing real-world problems at the intersection of control theory and cybersecurity. By integrating fuzzy state observers with predefined-time stability guarantees, Pan has advanced the reliability of autonomous systems in adversarial environments. Their contributions are vital for developing resilient robotics and secure automation, making Pan a notable figure in modern control engineering whose work inspires further innovation in safe, attack-resistant intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1