Yuhao Yan
Papers
1
Total Citations
3
H-Index
1
About
Yuhao Yan is a control systems researcher whose work focuses on intelligent adaptive control for robotic systems, particularly in challenging environments with communication constraints. His key research areas include model-free adaptive control (MFAC), time-delay systems, and data dropout compensation in networked control systems. Yan’s most notable contribution is the development of an improved model-free adaptive control algorithm combined with data compensation (IMFAC-DC), specifically designed for attitude control of two-wheeled balancing vehicles. This work addresses critical real-world issues such as time delays and data dropout that commonly plague wireless control systems. By introducing a dynamic linearization technique based on a pseudo-partial derivative, Yan’s approach enables robust control without requiring an accurate system model, making it highly practical for real-time applications. While his most-cited paper has garnered 3 citations since 2025, the novelty and timeliness of his work suggest growing recognition in the adaptive control community. Yan’s research bridges the gap between theoretical control methods and practical robotic implementations, offering solutions that are both computationally efficient and resilient to communication imperfections—a valuable contribution for the future of autonomous mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1