Chaoqun Meng
Papers
2
Total Citations
18
H-Index
2
About
Chaoqun Meng is a control systems researcher specializing in robust control strategies for robotic systems, particularly SCARA robots and robotic arms operating under uncertainty. His work addresses the fundamental challenge of maintaining precise trajectory tracking in complex, nonlinear, multi-input-multi-output systems plagued by dynamic uncertainties and strong coupling. Meng’s most impactful contribution is the development of a robust approximate constraint following control framework, validated experimentally on SCARA robots (2023, 15 citations). This approach introduces a novel model- and error-based proportional-differential method that ensures system constraints are approximately followed despite uncertainties, bridging the gap between theoretical robustness and practical implementation. His complementary work on robust trajectory tracking for robotic arms (2023, 3 citations) further demonstrates the effectiveness of his control design in real-world experimental settings. By providing experimentally validated solutions that handle both structured and unstructured uncertainties, Meng’s research offers practical tools for engineers designing reliable industrial robots. His work is particularly valuable for researchers developing high-precision automation systems where safety and performance under unpredictable conditions are paramount.
Research Focus
Key Achievements
Top Papers
- 1
- 2