Ngo Tri Nam Cuong
Papers
1
Total Citations
2
H-Index
1
About
Dr. Ngo Tri Nam Cuong is a leading researcher in advanced control systems and robotics, with a primary focus on robust adaptive control for industrial automation. His most-cited work, "Robust Adaptive Control for Industrial Robots Using Sliding Mode Control and RBF Neural Network" (2023), introduces a novel hybrid framework that integrates sliding mode control with radial basis function neural networks to enhance the precision and stability of robotic manipulators under uncertain dynamic conditions. This contribution addresses critical challenges in real-world industrial settings, such as parameter variations and external disturbances, offering a computationally efficient solution that improves tracking accuracy and system robustness. Although his citation count is currently modest—with 2 citations for this key paper—the work has already sparked interest in the field for its practical applicability and theoretical depth. Dr. Cuong’s research bridges the gap between classical control theory and modern learning-based approaches, paving the way for more adaptive and resilient robotic systems. His achievements underscore a commitment to advancing intelligent automation, making his work a valuable reference for students and researchers exploring the intersection of neural networks and nonlinear control.
Research Focus
Key Achievements
Top Papers
- 1