Chi-Hung Nguyen

Ho Chi Minh City University of Technology and Engineering

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Total Citations

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About

Chi-Hung Nguyen is an emerging researcher specializing in control systems engineering, with a particular focus on advanced control methodologies applied to complex underactuated robotic systems. His work centers on the challenging domain of rotary inverted pendulum systems, where he investigates both classical and intelligent control strategies to achieve stable, high-performance outcomes. Nguyen's most notable contributions involve the application of Linear Quadratic Regulation (LQR), Linear Quadratic Gaussian (LQG), and Adaptive Neuro-Fuzzy Inference System (ANFIS) techniques to the Rotary Double Inverted Pendulum in Parallel Type (PRDIP) — a sophisticated, nonlinear underactuated system that presents significant control engineering challenges. By systematically comparing these methodologies, his research provides valuable insights into the trade-offs between classical optimal control and intelligent hybrid approaches, offering practical guidance for engineers working with similar nonlinear systems. Though early in his research career, Nguyen has already accumulated citations across his 2024 publications, signaling growing interest from the control systems community. His comparative studies serve as accessible yet rigorous references for students and researchers seeking to understand modern control design strategies applied to inherently unstable robotic platforms.