Min Zheng
Papers
1
Total Citations
3
H-Index
1
About
Min Zheng is a control systems researcher whose work focuses on the robust and nonlinear control of robotic systems, particularly under conditions of uncertainty. Her most cited paper, "Nonlinear tracking control design of a robot arm using robust right coprime factorization and sliding mode approaches" (2014), addresses a fundamental challenge in robotics: maintaining precise trajectory tracking despite unknown modeling errors and external disturbances. By combining robust right coprime factorization with sliding mode control, Zheng developed a framework that ensures both stability and high-performance tracking for robot arms operating in unpredictable environments. This work, which has garnered 3 citations, demonstrates her ability to integrate advanced mathematical techniques to solve practical engineering problems. Zheng’s contributions are particularly relevant for applications in industrial automation, where robotic arms must adapt to real-world uncertainties without sacrificing accuracy. Her research bridges theoretical control theory and applied robotics, offering engineers a systematic method for designing resilient controllers. For students and researchers in nonlinear control and robotics, Zheng’s work provides a clear example of how coprime factorization can be leveraged alongside sliding mode methods to achieve robust performance in complex mechanical systems.
Research Focus
Key Achievements
Top Papers
- 1