Minh Phan Xuan
Hanoi University of Science and Technology, Hanoi University
Papers
2
Total Citations
23
H-Index
2
About
Minh Phan Xuan is a robotics researcher whose work focuses on intelligent control systems for mobile robots, particularly omni-directional platforms. His most impactful contribution, "Adaptive Control for Uncertain Model of Omni-directional Mobile Robot Based on Radial Basis Function Neural Network" (2021), has garnered 20 citations, demonstrating its significance in addressing the challenge of controlling robots with uncertain dynamics. This work leverages neural networks to enhance adaptability and robustness in real-time control. Earlier, in 2013, he introduced a Model Reference Adaptive Control (MRAC) algorithm for mobile robots with parameter uncertainties, ensuring smooth trajectory tracking without jerky motions. His research elegantly combines nonlinear control theory with adaptive mechanisms, offering practical solutions for autonomous navigation in uncertain environments. By integrating neural networks and adaptive control, Phan Xuan has advanced the field of mobile robotics, making his work a valuable reference for students and researchers exploring robust control strategies.
Research Focus
Key Achievements
Top Papers
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- 2