Papers
4
Total Citations
62
H-Index
4
About
Dr. Minhtuan Pham is a leading researcher in autonomous vehicle control and mobile robotics, specializing in robust and adaptive control systems for wheeled and car-like vehicles. His major contributions center on developing fault-tolerant and antisingularity control strategies that address critical real-world challenges, such as unknown wheel slips, model uncertainties, and external disturbances. Notably, his most-cited work (40 citations) introduces a Gaussian wavelet network-based robust adaptive tracking controller for wheeled mobile robots, effectively handling nonlinear dynamics without prior knowledge. He has also pioneered unified control designs for autonomous platoons, including a fault-tolerant vehicle-following controller for four-wheel-steering vehicles (9 citations) that can manage steering actuator faults. Further advancing the field, Dr. Pham proposed an adaptive antisingularity terminal sliding mode control for robotic arms (7 citations), completely resolving the singularity problem using radial basis function neural networks. His research on unified control for autonomous car-like vehicle tracking maneuvers (6 citations) demonstrates his commitment to scalable, practical solutions for multi-vehicle systems. Dr. Pham’s work is essential reading for students and researchers pursuing resilient, intelligent control in autonomous navigation.
Research Focus
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