Dinh-Hieu Pham

About

Dinh-Hieu Pham is a rising researcher in the field of nonlinear control systems, with a focused expertise in the stabilization and trajectory tracking of underactuated mobile robots. His work primarily addresses the inherent instability of two-wheeled balancing mobile robots (2WBMRs) and ball segways, systems that are notoriously difficult to control due to their nonlinear dynamics. Pham’s major contribution lies in the development and optimization of advanced control strategies, particularly Hierarchical Sliding Mode Control (HSMC) and its variants. He has pioneered the integration of metaheuristic algorithms, such as the Firefly Algorithm, to optimize control parameters for improved stability and performance. His most cited paper, "Trajectory tracking and stabilization of two-wheeled balancing mobile robot with hierarchical and sliding mode control" (2024), has garnered 11 citations, demonstrating immediate impact. Further extending his work, Pham has explored the use of interval Type-2 Fuzzy Logic and adaptive fuzzy systems to enhance robustness in trajectory tracking. With a total of 24 citations across his top papers, Pham is establishing himself as a key contributor to the practical realization of stable, autonomous personal carrier robots.

Research Focus

Key Achievements

Top Papers

1. 1
   Trajectory tracking and stabilization of two-wheeled balancing mobile robot with hierarchical and sliding mode control

   11 citations · 2024
2. 2
   Optimization of Hierarchical Sliding Mode Control Parameters for a Two-Wheeled Balancing Mobile Robot Using the Firefly Algorithm

   8 citations · 2024
3. 3
   Trajectory tracking of Two-Wheeled Self-Balancing Mobile Robots using MPPF-constrained HSMC and interval Type-2 Fuzzy Logic

   3 citations · 2026
4. 4
   Adaptive Fuzzy Hierarchical Sliding Mode Control for Ball Segway

   2 citations · 2022

Key Collaborators

Contact & Links