Huey‐Jian Uang
Papers
2
Total Citations
135
H-Index
2
About
Huey-Jian Uang is a prominent researcher in the fields of robotics, control systems, and fuzzy logic, with a focus on robust tracking and motor dynamics. His most influential work, "Robust tracking enhancement of robot systems including motor dynamics: a fuzzy-based dynamic game approach" (1998), has garnered 131 citations, establishing a foundational approach to improving tracking performance in robotic systems under parameter perturbations and external disturbances. Uang’s key contribution lies in integrating adaptive fuzzy cancellation with minimax control strategies, offering a novel method for enhancing robustness in complex robotic environments. Notably, his follow-up commentary (2002) critically refined this work, demonstrating that the original fuzzy rule base could not serve as a universal approximator, yet showing that effective control was still achievable—a testament to his rigorous analytical approach. This self-critical contribution underscores Uang’s commitment to advancing theoretical precision in control engineering. His research has significant implications for autonomous systems and industrial robotics, inspiring further studies in adaptive and intelligent control. Uang’s work remains a valuable reference for students and researchers exploring fuzzy-based dynamic game approaches in robotics.
Research Focus
Key Achievements
Top Papers
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- 2