Papers
1
Total Citations
2
H-Index
1
About
Tuan-Anh Duong is a control systems researcher whose work focuses on the stabilization and control of complex, underactuated mechanical systems. His primary research areas include advanced control theory, particularly Linear Quadratic Regulator (LQR) and Linear Quadratic Gaussian (LQG) methods, with applications to nonlinear and unstable systems like the Rotary Double Inverted Pendulum in Parallel Type (PRDIP). Duong’s major contribution lies in systematically comparing these two optimal control strategies for a novel, more challenging variant of the classic inverted pendulum—a benchmark problem in control engineering. His 2024 paper, which has already garnered 2 citations, demonstrates that LQG offers superior performance over LQR in handling the PRDIP’s inherent instability and sensor noise, providing a practical framework for designing robust controllers for similar underactuated systems. This work is notable for extending classical control techniques to a new, advanced platform, offering insights that could benefit robotics, aerospace, and mechatronics. Duong’s research is valuable for students and engineers seeking to understand how to apply optimal control to real-world, high-degree-of-freedom systems.
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Top Papers
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