Yanfang Zhang
Papers
1
Total Citations
13
H-Index
1
About
Dr. Yanfang Zhang is a leading researcher in intelligent control systems and robotics, with a particular focus on hydraulic parallel mechanisms and neural network-based adaptive control. Her most-cited work, "Model reference adaptive PID control of hydraulic parallel robot based on RBF neural network" (2007, 13 citations), introduces a novel approach that integrates radial basis function (RBF) neural networks with model reference adaptive control to address the inherent asymmetry of hydraulic actuators. This contribution has been influential in advancing precision and stability in robotic control, offering a robust solution for complex, real-time applications. Dr. Zhang’s research bridges theoretical control engineering with practical robotic systems, and her work continues to inspire innovations in adaptive and intelligent control methodologies. Her achievements underscore a career dedicated to enhancing the performance and reliability of robotic systems through cutting-edge computational techniques.
Research Focus
Key Achievements
Top Papers
- 1