Changyun Wen
Papers
31
Total Citations
1,771
H-Index
13
About
Changyun Wen is a distinguished control systems and robotics researcher whose work spans adaptive control, multi-agent systems, and autonomous mobile robotics. His research has made foundational contributions to the control of nonholonomic mobile robots, developing adaptive frameworks that handle real-world challenges including input saturation, parametric uncertainties, disturbances, and output-feedback constraints — work that has collectively garnered hundreds of citations, with his 2014 study on distributed adaptive consensus tracking alone exceeding 500 citations. Wen's early career produced influential contributions to iterative learning control, with his 1999 work on convergence and robustness remaining a landmark reference in the field. Over subsequent decades, he expanded into networked and multi-agent systems, pioneering bearing-only formation control for 3-D robotic networks and adaptive consensus tracking for high-order nonlinear agents. His more recent work reflects a compelling pivot toward autonomous navigation, fusing UWB and LiDAR technologies for cooperative SLAM and developing robust loop closure detection using advanced feature learning and graph verification. He has also contributed to fault-tolerant neural control for MIMO nonlinear systems. Together, these efforts paint the portrait of a researcher bridging rigorous control theory with practical autonomous systems, offering tools of enduring relevance to both theorists and robotics engineers.
Research Focus
Key Achievements
Top Papers
- 1
- 2Adaptive output feedback tracking control of a nonholonomic mobile robot221 citations · 2014
- 3Iterative Learning Control: Convergence, Robustness and Applications209 citations · 1999
- 4
- 5
- 6UWB/LiDAR Fusion For Cooperative Range-Only SLAM96 citations · 2019
- 7
- 8
- 9
- 10