N. Giang Phan

Ho Chi Minh City University of Technology and Engineering

Papers

Total Citations

H-Index

About

N. Giang Phan is a robotics researcher whose work centers on the modeling, control, and optimization of complex, under-actuated mechanical systems, with a particular focus on two-wheeled self-balancing robots. His most cited paper, "Modeling and Optimal Control for Two-Wheeled Self-Balancing Robot" (2024), tackles the fundamental challenge of stabilizing a nonlinear, multiple input-multiple output (MIMO) inverted pendulum system—a notoriously difficult problem due to its six state variables and uncertain parameters. In this work, Phan develops a sophisticated model and applies optimal control strategies to achieve robust balance and maneuverability, addressing key limitations in real-time stability for such inherently unstable platforms. While his citation count is still growing, this contribution marks a significant step forward in the practical control of under-actuated robots, offering a framework that can be extended to autonomous vehicles, humanoid balance, and assistive devices. Phan’s research sits at the intersection of nonlinear dynamics, optimal control theory, and mechatronics, making his work highly relevant for students and engineers seeking to push the boundaries of autonomous system design.