Xuan-Toa Tran
Papers
3
Total Citations
70
H-Index
3
About
Xuan-Toa Tran is a control systems researcher whose work centers on advanced sliding mode control, fault-tolerant control, and the robust control of robotic systems. His research addresses one of the most persistent challenges in modern robotics: achieving precise, reliable control of robot manipulators under conditions of uncertainty, disturbance, and system faults. His most influential contribution, a 2015 paper on adaptive hybrid high-order terminal sliding mode control for MIMO nonlinear systems, has garnered 48 citations and established foundational techniques for handling complex, uncertain dynamics in multi-input multi-output systems. Building on this foundation, Tran has made significant strides in observer-based control strategies, developing high-speed third-order sliding mode observers that enable fault-tolerant operation using only position measurements — a practically important advance given real-world sensor limitations. His more recent work continues to push boundaries by eliminating the need for velocity measurements entirely, broadening the applicability of fault-tolerant frameworks for industrial robotic arms. Collectively, his contributions reflect a coherent research vision: making robotic systems safer, more resilient, and deployable in demanding environments where hardware failures and unpredictable conditions are unavoidable realities.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3