Fan-Nong Yu
Papers
1
Total Citations
11
H-Index
1
About
Fan-Nong Yu is a control systems researcher whose work bridges classical and modern control theory to tackle complex, real-world dynamical systems. His primary research areas include nonlinear system control, robust stabilization, and the application of advanced control strategies to underactuated mechanical systems. Yu’s most notable contribution is his innovative integration of Linear Quadratic Regulator (LQR) optimal control with refined PID techniques to balance a rotary inverted pendulum under time-varying uncertainty—a notoriously challenging problem due to its nonlinear dynamics and inherent instability. This work, published in 2017 and cited 11 times, has significant implications for human balance studies, bipedal robot development, and rehabilitation technologies. By addressing the complexities of rotary rather than linear inverted pendulums, Yu has provided a practical framework for stabilizing systems that mimic human postural control. His research demonstrates how combining optimal control theory with classical feedback can yield robust solutions for systems with unpredictable disturbances, offering valuable insights for engineers and researchers working on autonomous robotics, assistive devices, and real-time control applications.
Research Focus
Key Achievements
Top Papers
- 1