Minh-Tri Phan

Hanoi University of Science and Technology

Papers

Total Citations

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About

Minh-Tri Phan is a control systems researcher whose work focuses on the challenging intersection of nonlinear dynamics, robotics, and human-robot interaction. His primary research areas include adaptive fuzzy control, sliding mode control, and advanced PID controller design for complex, under-actuated robotic systems. Phan’s major contribution lies in developing robust control strategies that can handle the inherent uncertainties and nonlinearities of real-world robots. His 2022 paper on an "Adaptive Fuzzy Hierarchical Sliding Mode Controller for Ball Segway" addresses the difficult problem of stabilizing and controlling a ballbot-type personal carrier robot—a nonlinear, under-actuated system that must balance while following a desired trajectory. This work demonstrates his ability to combine fuzzy logic with hierarchical sliding mode techniques to achieve stable, adaptive control. More recently, his 2024 paper on an "Augmented Nonlinear PID Controller for Human-Robot Collaboration with Uncertainties" extends his expertise to the growing field of collaborative robotics, where safe and reliable interaction between humans and machines is paramount. Though early in his career, Phan’s focused contributions to advanced control theory are laying a strong foundation for safer, more capable autonomous and collaborative robotic systems.