Minh Ngoc Nguyen
Papers
2
Total Citations
11
H-Index
2
About
Dr. Minh Ngoc Nguyen is a control systems researcher whose work focuses on the intelligent control of complex, under-actuated robotic systems. His primary research areas include adaptive control, sliding mode control, and reinforcement learning-based control strategies for nonlinear and uncertain dynamics. Dr. Nguyen has made significant contributions to the field by developing novel approaches for challenging single-input multiple-output (SIMO) systems. His most cited work, "An Efficient Approach for SIMO Systems using Adaptive Fuzzy Hierarchical Sliding Mode Control" (2021, 8 citations), proposes a pioneering hierarchical sliding mode control method for systems like inverted pendulums and overhead cranes, effectively addressing their inherent instability and coupling. In a subsequent notable paper, "Adaptive Dynamic Programming based Control Scheme for Uncertain Two-Wheel Robots" (2021, 3 citations), he introduced a reinforcement learning-based adaptive dynamic programming framework to overcome the nonlinearities and parameter uncertainties in two-wheel robot control. These works demonstrate his expertise in merging classical control theory with modern learning-based techniques, establishing him as a promising voice in the development of robust, adaptive controllers for next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
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