Yufang Chang
Papers
1
Total Citations
86
H-Index
1
About
Yufang Chang is a leading researcher in cooperative control and multi-agent systems, with a particular focus on the coordination of mobile robotic networks. Her most influential work, "Design and Implementation of Nonuniform Sampling Cooperative Control on A Group of Two-Wheeled Mobile Robots" (2016, 86 citations), addresses the fundamental challenge of achieving consensus among wheeled robots under realistic communication constraints. In this seminal paper, Chang develops novel control protocols for both first- and second-order system dynamics that operate effectively under nonuniform sampling rates and across directed, switching communication topologies—a significant departure from idealized uniform-sampling assumptions. By introducing bounded control gains, her approach ensures robust coordination even when network connectivity changes unpredictably. This work has become a cornerstone reference for researchers tackling real-world multi-robot applications, from warehouse automation to environmental monitoring. Chang’s contributions are particularly notable for bridging theoretical control theory with practical implementation, demonstrating that complex consensus problems can be solved with computationally efficient, implementable algorithms. Her research continues to shape how engineers design resilient, scalable coordination strategies for heterogeneous robotic teams operating in dynamic, communication-constrained environments.
Research Focus
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Top Papers
- 1