Phuoc Doan Nguyen
Papers
6
Total Citations
52
H-Index
4
About
Phuoc Doan Nguyen is a leading researcher in advanced control systems, with a primary focus on robotics and intelligent automation. His work centers on developing robust control strategies for complex, uncertain systems, particularly two-wheeled inverted robots (TWIRs) and robotic manipulators. Nguyen’s major contributions include pioneering observer-based controllers that effectively handle model uncertainty and unknown input disturbances—a critical challenge in real-world robotics. His 2020 paper on observer-based controllers for TWIRs has garnered 13 citations, while his 2021 work introducing an intelligent parameter determination approach in iterative learning control has achieved 19 citations, highlighting its impact on adaptive control methodology. Nguyen has also advanced model-free control techniques, as demonstrated in his 2022 study on output regulation for 4-DOF serial robots, which eliminates the need for precise mathematical models. His comprehensive 2017 review on advanced control methods for two-wheeled mobile robots remains a key reference in the field. Through experimental validation, including LQR controller designs with compound disturbance observers, Nguyen bridges theoretical innovation with practical application, making his work essential for researchers tackling real-time control challenges in robotics and automation.
Research Focus
Key Achievements
Top Papers
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- 4Advanced control methods for two-wheeled mobile robots5 citations · 2017
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- 6Control of TWIR using LQR Controller and Compound Disturbance Observer2 citations · 2021