Duc-Huy Nguyen

Ho Chi Minh City University of Technology and Engineering

Papers

Total Citations

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About

Dr. Duc-Huy Nguyen is a control systems researcher specializing in nonlinear dynamics, underactuated robotics, and intelligent control methodologies. His work focuses on the stabilization and control of complex mechanical systems, particularly inverted pendulum models that serve as benchmarks for advanced control theory. His most cited paper, "ANFIS-based LQR Control for Rotary Double Parallel Inverted Pendulum" (2024), introduces a hybrid approach combining Linear Quadratic Regulation (LQR) with Adaptive Neuro-Fuzzy Inference Systems (ANFIS) to address the challenges of the Rotary Double Inverted Pendulum in Parallel Type (PRDIP)—a quintessential underactuated, nonlinear system. This contribution demonstrates his ability to integrate classical optimal control with machine learning techniques to enhance system performance and robustness. With a growing citation impact, Dr. Nguyen’s research offers valuable insights for students and researchers exploring intelligent control, robotics, and the practical application of fuzzy logic and neural networks in real-time stabilization problems. His work continues to influence the development of more adaptive and efficient control strategies for complex dynamic systems.