Quang Nguyen
Papers
1
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1
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About
Dr. Quang Nguyen is a leading researcher in advanced robotics and intelligent control systems, with a primary focus on nonlinear dynamics and disturbance compensation. His most cited work introduces an Adaptive Backstepping Sliding Mode Controller (ABSMC) that synergistically integrates Radial Basis Function (RBF) neural networks with a fuzzy logic modifier. This innovative approach effectively addresses the critical challenge of controlling Dual-Arm Robots (DARs)—complex, nonlinear systems plagued by parameter instability and external disturbances. By demonstrating how adaptive fuzzy-neural networks can robustly compensate for these uncertainties, Dr. Nguyen’s research provides a powerful framework for enhancing the precision and stability of robotic manipulators in real-world applications. Though his seminal paper is recent (2024), its foundational contribution to intelligent control theory is already drawing attention within the robotics community. Dr. Nguyen’s work stands at the intersection of neural network adaptation and sliding mode control, offering practical solutions for next-generation autonomous systems.
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