Van-Si Tran

Ho Chi Minh City University of Technology and Engineering

Papers

Total Citations

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About

Van-Si Tran is an emerging researcher specializing in advanced control systems and intelligent robotics, with a particular focus on underactuated mechanical systems. His work centers on the challenging domain of rotary inverted pendulum systems, where he investigates sophisticated control strategies to stabilize inherently nonlinear and unstable robotic platforms. Tran's most notable contributions involve the application of modern control methodologies to the Rotary Double Inverted Pendulum in Parallel Type (PRDIP), a complex and novel extension of classical inverted pendulum systems. His research systematically evaluates and compares cutting-edge approaches, including Linear Quadratic Regulation (LQR), Linear Quadratic Gaussian (LQG), and the Adaptive Neuro-Fuzzy Inference System (ANFIS), providing the research community with valuable comparative insights into their relative performance and applicability. Published in 2024, his papers have already attracted a combined five citations, a promising signal of growing interest in his work within the control engineering community. By bridging classical optimal control theory with modern machine learning-inspired techniques like ANFIS, Tran is contributing meaningfully to the advancement of intelligent control systems — research with broad implications for robotics, automation, and autonomous systems engineering.