Duc–Anh Pham

Papers

Total Citations

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About

Duc-Anh Pham is a rising researcher in the field of intelligent robotics and nonlinear control systems, with a particular focus on enhancing the autonomy and precision of robotic manipulators in challenging environments. His work centers on the intersection of sliding mode control, neural networks, and fuzzy logic, developing hybrid algorithms that address the critical limitations of traditional controllers. Pham’s most cited paper, "Enhancing Underwater Robot Manipulators with a Hybrid Sliding Mode Controller and Neural-Fuzzy Algorithm" (2023, 12 citations), tackles the instability caused by noise and time-varying parameters in underwater settings—a notoriously difficult problem where precise system models are unavailable. Building on this, his 2024 work (9 citations) extends these principles to mobile robots, introducing improved sliding mode techniques integrated with artificial neural networks for superior trajectory tracking in applications ranging from planetary exploration to healthcare logistics. Though early in his career, Pham’s contributions are notable for their practical focus on real-world robustness, bridging theoretical control theory with deployable solutions for autonomous systems. His research is particularly valuable for engineers seeking to overcome the model-dependency of conventional sliding mode controllers.