Hoang Tran Viet
Papers
1
Total Citations
5
H-Index
1
About
Hoang Tran Viet is a researcher specializing in advanced control systems and robotics, with a particular focus on the development of intelligent, adaptive control strategies for complex dynamical systems. His most notable contribution is the design of an adaptive hierarchical sliding mode control framework, enhanced by an artificial neural network, to stabilize and control a ballbot system—a single-wheel, inherently unstable robot—under conditions of uncertainty and external disturbances. This work, published in 2022 and garnering 5 citations, demonstrates a novel integration of sliding mode control with machine learning to improve robustness and adaptability. Viet’s research addresses critical challenges in nonlinear control, offering practical solutions for autonomous mobile robots and mechatronic systems. His approach is recognized for its potential to advance real-world applications in service robotics and human-robot interaction, where reliability in uncertain environments is paramount. Through this work, Viet contributes to the growing field of intelligent control, bridging theoretical rigor with engineering practice.
Research Focus
Key Achievements
Top Papers
- 1