Thang Vu Nguyen

Papers

Total Citations

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About

Dr. Thang Vu Nguyen is a leading researcher in nonlinear control systems and robotics, with a primary focus on the stabilization and trajectory tracking of under-actuated systems. His most cited work, "Adaptive Fuzzy Hierarchical Sliding Mode Control for Ball Segway" (2022), introduces an innovative adaptive fuzzy hierarchical sliding mode controller (AFHSMC) that addresses the complex challenge of controlling a ballbot-type personal carrier robot—a highly nonlinear, under-actuated system requiring simultaneous balance and path following. This contribution is significant for advancing the practical deployment of personal mobility robots, offering a robust solution to a notoriously difficult control problem. While his citation count is currently modest, reflecting the recent publication of his key work, Dr. Nguyen’s research demonstrates strong potential for impact in the fields of intelligent control and autonomous systems. His work bridges theoretical control design with real-world robotic applications, making him a promising figure in the development of next-generation, dynamically stable mobile robots.