Phuoc Nguyen Doan
Hanoi University of Science and Technology, Hanoi University
Papers
3
Total Citations
10
H-Index
2
About
Phuoc Nguyen Doan is a control systems researcher whose work focuses on the challenging problem of adaptive tracking control for nonlinear systems, particularly those described by Euler-Lagrange dynamics. His research addresses critical issues in mechatronics and robotics, including parameter uncertainty, input noise, and disturbance attenuation. Doan's major contribution lies in developing robust adaptive control frameworks that guarantee tracking performance even when systems face both uncertain parameters and external disturbances—a significant advance over earlier methods that could only handle one challenge at a time. His most cited work (2011, 5 citations) introduced adaptive tracking controllers based on disturbance attenuation and input-to-state stabilization for Euler-Lagrange systems, while his 2013 papers extended these ideas to mobile robots using Model Reference Adaptive Control and provided guaranteed tracking error bounds for nonlinear systems with combined uncertainties. Though his citation counts are modest, Doan's work represents important foundational steps toward practical, robust control solutions for real-world mechatronic systems like robot manipulators and mechanical platforms. His research continues to explore the intersection of adaptive control, nonlinear dynamics, and practical implementation challenges in autonomous systems.
Research Focus
Key Achievements
Top Papers
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