Lon‐Chen Hung
Papers
2
Total Citations
17
H-Index
2
About
Lon-Chen Hung is a researcher in intelligent control systems and robotics, with a focus on fuzzy logic and sliding-mode control for nonlinear and uncertain environments. His work addresses critical challenges in autonomous navigation and system stability. In his highly cited 2006 paper, "Design of Hierarchical Fuzzy Logic Control for Mobile Robot System" (12 citations), Hung developed a hierarchical fuzzy control framework enabling mobile robots to navigate partially unknown environments while handling parametric uncertainties in motion models. This contribution provides a practical approach to real-time decision-making under incomplete information. In another influential study, "Fuzzy sliding-mode control with rule adaptation for nonlinear systems" (5 citations), he introduced an adaptive fuzzy sliding-mode controller that uses a decoupling method to achieve asymptotic stability in uncertain nonlinear systems. By combining rule adaptation with sliding-mode techniques, Hung’s work simplifies robust control design, offering a straightforward path to stability without complex tuning. His research bridges theoretical control methods and applied robotics, making him a notable contributor to intelligent systems engineering.
Research Focus
Key Achievements
Top Papers
- 1Design of Hierarchical Fuzzy Logic Control for Mobile Robot System12 citations · 2006
- 2Fuzzy sliding‐mode control with rule adaptation for nonlinear systems5 citations · 2006