Hooi Hung Tang

About

Dr. Hooi Hung Tang is a leading researcher in intelligent control systems, specializing in fuzzy logic, nonlinear dynamics, and mobile robotics. His work addresses critical challenges in autonomous navigation and system optimization, particularly for differential wheeled mobile robots (DWMRs). Dr. Tang’s most influential contribution is his comprehensive 2024 review of fuzzy logic applications, which has already garnered 109 citations, establishing itself as a key reference for researchers in energy harvesting, ambient conditioning, and robotics. This work systematically demonstrates how fuzzy logic effectively manages system nonlinearities and uncertainties. Building on this foundation, his 2025 paper introduces an enhanced Grey Wolf Optimizer (GWO) for tuning back-stepping and FOPID controllers, achieving superior trajectory tracking for DWMRs in complex, nonlinear paths—a breakthrough for autonomous cleaning, mowing, and leader-following tasks. With a growing citation impact and a focus on bridging theoretical control methods with practical robotic applications, Dr. Tang is shaping the future of intelligent, adaptive autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Fuzzy logic approach for controlling uncertain and nonlinear systems: a comprehensive review of applications and advances

   109 citations · 2024
2. 2
   Improving Trajectory Tracking of Differential Wheeled Mobile Robots With Enhanced GWO-Optimized Back-Stepping and FOPID Controllers

   11 citations · 2025

Key Collaborators

Contact & Links