Qiuwen Zhang
Papers
1
Total Citations
10
H-Index
1
About
Qiuwen Zhang is a researcher focused on control theory and robotics, with particular expertise in iterative learning control (ILC) and networked control systems for mobile robots. Their most-cited work, "Robustness Analysis of Iterative Learning Control for a Class of Mobile Robot Systems With Channel Noise" (2019), addresses a critical challenge in remote robot operation: maintaining precise tracking performance despite wireless channel noise. By modeling the nonlinear dynamics of unicycle-type mobile robots under ILC over wireless networks, Zhang provides a rigorous framework for robustness analysis that bridges control theory and real-world communication constraints. This contribution is especially relevant for applications in autonomous navigation, teleoperation, and multi-robot coordination where reliable performance under imperfect communication is essential. With 10 citations, this work has drawn attention from researchers working at the intersection of learning-based control and networked systems. Zhang’s research continues to advance the understanding of how iterative learning algorithms can be made resilient to practical disturbances, offering valuable insights for the next generation of intelligent robotic systems operating in uncertain environments.
Research Focus
Key Achievements
Top Papers
- 1