Yun Ze Chang
Papers
1
Total Citations
7
H-Index
1
About
Yun Ze Chang is a robotics and control systems researcher whose work centers on the stabilization and intelligent control of nonlinear, unsteady dynamic systems. His most cited paper, "The fuzzy controller designing of the self-balancing robot" (2011, 7 citations), addresses the fundamental challenge of controlling a self-balancing robot—a system characterized by strong coupling and inherent instability. In this work, Chang employs Newtonian mechanics to derive a mathematical model for steering movements, then applies fuzzy logic control methods to achieve stable, real-time balance. By simulating the controller in MATLAB, he demonstrated the effectiveness of fuzzy logic in managing complex, nonlinear dynamics where traditional control methods often fall short. This contribution highlights Chang’s expertise in merging classical mechanical modeling with modern intelligent control techniques. His research is particularly valuable for students and engineers working on mobile robotics, autonomous systems, and human-robot interaction, offering a practical framework for designing robust controllers in challenging environments.
Research Focus
Key Achievements
Top Papers
- 1The fuzzy controller designing of the self-balancing robot7 citations · 2011