Duc-Hung Pham

Hung Yen University of Technology and Education

Papers

Total Citations

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About

Duc-Hung Pham is a researcher focused on intelligent robotics and adaptive control systems, with key contributions in multi-robot coordination and fuzzy neural networks. His work on path planning for Multiple-Mobile Robot Systems (MMRS), published in 2024, introduces novel methods using Ant Colony Optimization (ACO) to determine optimal moving trajectories and formation control, earning 4 citations for its practical approach to swarm robotics. In 2025, he advanced the field of nonlinear system control with a self-organizing Takagi–Sugeno–Kang fuzzy elliptic type-2 CMAC model, designed to handle system uncertainties—a contribution that has already garnered 1 citation for its innovative fusion of fuzzy logic and cerebellar model articulation. Pham’s research bridges theoretical algorithms and real-world robotic applications, offering scalable solutions for autonomous navigation and adaptive control. His work is particularly notable for addressing the challenges of uncertainty in dynamic environments, making it relevant for students and researchers in robotics, control engineering, and artificial intelligence. With a growing citation footprint, Pham is establishing himself as a promising voice in intelligent systems and multi-agent coordination.