Kha-Vy Ngo

Ho Chi Minh City University of Technology and Engineering

Papers

Total Citations

H-Index

About

Kha-Vy Ngo is a rising researcher in nonlinear control systems and underactuated robotics, with a focus on advanced stabilization techniques for complex dynamic models. Her most cited work, “ANFIS-based LQR Control for Rotary Double Parallel Inverted Pendulum” (2024, 3 citations), introduces a novel hybrid approach that combines Linear Quadratic Regulation (LQR) with the Adaptive Neuro-Fuzzy Inference System (ANFIS) to address the challenges of controlling a Rotary Double Inverted Pendulum in Parallel Type (PRDIP)—a highly nonlinear, underactuated system. This contribution is significant for advancing intelligent control strategies that blend classical optimal control with adaptive learning, offering improved robustness and performance in real-time applications. Ngo’s research bridges theoretical control design and practical implementation, making her work relevant to students and engineers exploring neuro-fuzzy systems, robotics, and nonlinear dynamics. With her early-career impact already evident through citations and the technical depth of her work, she is establishing herself as a promising voice in the field of autonomous and robotic control systems.