Papers
19
Total Citations
2,743
H-Index
7
About
Shuanghe Yu is a leading figure in nonlinear control theory, with a primary focus on advanced sliding mode control for robotic systems. His seminal 2005 paper, "Continuous finite-time control for robotic manipulators with terminal sliding mode," has garnered over 2,600 citations, establishing him as a pioneer in finite-time control. Yu’s major contributions include the development of Global Fast Terminal Sliding Mode Control (GFTSMC), which ensures rapid, finite-time convergence during both the reaching and sliding phases—a critical advancement for precision in robotic manipulators. His work extends to robust adaptive control using orthogonal neural networks and event-triggered predefined-time tracking, addressing real-world challenges like state and input quantization. More recently, Yu has explored autonomous mobile robot exploration, proposing efficient strategies such as DL-RRT and AP-BO, and vision-based transport via Kalman filters. With a career spanning from foundational theory to practical implementation, his research consistently pushes the boundaries of robustness and efficiency in robotic control, making him a highly cited and influential scholar in the field.
Research Focus
Key Achievements
Top Papers
- 1Continuous finite-time control for robotic manipulators with terminal sliding mode2,605 citations · 2005
- 2Global fast terminal sliding mode control for robotic manipulators35 citations · 2006
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- 4Efficient Exploration of Mobile Robot Based on DL-RRT and AP-BO13 citations · 2024
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- 6Tracking control of robot manipulators based on orthogonal neural network10 citations · 2010
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