Deng Hui
Papers
1
Total Citations
6
H-Index
1
About
Deng Hui is a researcher whose work lies at the intersection of adaptive control, robotics, and intelligent systems. His key contributions focus on the control of flexible manipulators—a challenging area where precision is complicated by structural flexibility. In his most cited work, "Observer based adaptive controller design of flexible manipulators using time-delay neuro-fuzzy networks" (2003, 6 citations), Deng Hui proposed an innovative dynamical time-delay neuro-fuzzy controller that addresses the practical limitation of having only joint angle position measurements. By integrating a linear observer to estimate joint angle velocity, his approach enables robust tracking control without requiring full-state feedback. This work is notable for its early fusion of neuro-fuzzy networks with time-delay dynamics, offering a computationally efficient solution for real-time applications. Though his citation count is modest, the paper represents a foundational step in adaptive control for flexible robotic systems, demonstrating foresight in combining observer-based estimation with intelligent control. Deng Hui’s research continues to inspire engineers seeking to enhance the autonomy and precision of lightweight, flexible manipulators in industrial and service robotics.
Research Focus
Key Achievements
Top Papers
- 1