Thai Son Dang
Papers
7
Total Citations
147
H-Index
5
About
Thai Son Dang is a control systems researcher whose work sits at the intersection of intelligent control theory and autonomous robotics. His research focuses primarily on fuzzy logic control, adaptive control strategies, and their practical implementation in mobile robotic platforms — particularly two-wheeled self-balancing robots and autonomous wheeled mobile robots. Dang's most influential contribution, a 2021 paper proposing a combined backstepping and adaptive fuzzy PID approach for trajectory tracking of autonomous mobile robots, has attracted 63 citations, establishing him as a notable voice in intelligent motion control. His sustained interest in two-wheeled balancing robots spans multiple publications across nearly a decade, from early microcontroller-based implementations (2018, 26 citations) to comprehensive optimal fuzzy control frameworks (2023), demonstrating both theoretical depth and strong practical orientation. A recurring theme throughout his portfolio is the marriage of classical control techniques — PID, PD, sliding mode — with soft computing methods such as fuzzy logic and metaheuristic optimization, including cross-entropy and stochastic fractal search approaches. His more recent work on adaptive integral terminal sliding mode control with time delay estimation signals a productive evolution toward robust control under real-world uncertainty. For students entering mobile robotics or intelligent control, Dang's body of work offers a valuable, application-grounded reference spanning design, simulation, and hardware implementation.
Research Focus
Key Achievements
Top Papers
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- 3Comprehensive optimal fuzzy control for a two-wheeled balancing mobile robot18 citations · 2023
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