Papers
3
Total Citations
143
H-Index
2
About
Dafeng Tang is a researcher whose work sits at the intersection of advanced control theory and robotic systems, with a particular focus on ensuring reliable performance under real-world uncertainties. His primary research areas include fault-tolerant control, adaptive sliding mode control, and the dynamic stability of smart materials like dielectric elastomers. Tang’s most significant contribution is the development of an adaptive fixed-time fault-tolerant tracking control for robot manipulators, a method that guarantees trajectory tracking within a fixed timeframe even when actuators experience partial failures. This work, published in 2021, has garnered 129 citations, underscoring its impact on the field of robust robotics. He further advanced this approach in 2023 by integrating an integral sliding mode with a novel auxiliary function, enhancing tracking precision for uncertain systems. Beyond rigid robots, Tang has also explored the dynamic stability of viscoelastic dielectric elastomers under alternating voltage, contributing to the design of more reliable soft actuators. His research is essential for engineers developing resilient autonomous systems, from industrial manipulators to soft robotics, where safety and performance under faults are paramount.
Research Focus
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