Xuan Minh Dinh
Papers
4
Total Citations
31
H-Index
2
About
Dr. Xuan Minh Dinh is a rising authority in nonlinear control systems and robotics, specializing in the trajectory tracking and stabilization of complex robotic platforms. His core research focuses on developing advanced, hybrid control strategies that fuse adaptive backstepping, hierarchical sliding mode control, and neural networks to overcome the challenges of model uncertainty and external disturbances. Dr. Dinh’s most impactful work, “Adaptive Backstepping Hierarchical Sliding Mode Control for 3-Wheeled Mobile Robots Based on RBF Neural Networks” (2023), has garnered 26 citations for its novel cooperative controller that ensures robust performance for nonholonomic mobile robots. He has further extended these techniques to industrial manipulators, notably proposing a backstepping sliding mode controller for Delta robots (2024) that achieves rapid, stable trajectory tracking despite unknown joint torque disturbances. His recent contributions include optimizing observer-based sliding mode control for two-wheeled inverted pendulums and integrating dynamic surface control with sliding mode for precise 3-DOF Delta robot motion. With a growing publication record in 2023–2025, Dr. Dinh is establishing himself as a key innovator in merging adaptive and robust control theories for real-world robotic applications, promising safer and more reliable autonomous systems.
Research Focus
Key Achievements
Top Papers
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