Chengzong Miao
Papers
1
Total Citations
47
H-Index
1
About
Chengzong Miao is a leading researcher in intelligent control systems and robotics, with a primary focus on adaptive trajectory tracking and nonlinear dynamics. His most influential work introduces a model-free fuzzy adaptive control algorithm that enhances the performance of robotic manipulators by integrating dynamic surface control with fuzzy logic. This approach overcomes the limitations of traditional methods, such as computational complexity and chattering, achieving superior tracking precision and robustness—as demonstrated through simulations on selective compliance assembly robot arm (SCARA)-type manipulators. With 47 citations, this paper has become a key reference for researchers seeking to simplify control design without sacrificing stability. Miao’s contributions are particularly notable for advancing practical, high-performance solutions in autonomous robotics, bridging the gap between theoretical control theory and real-world applications. His work continues to inspire innovations in adaptive and intelligent systems, making him a respected figure in the field.
Research Focus
Key Achievements
Top Papers
- 1