Shee Yong Ng
Papers
1
Total Citations
27
H-Index
1
About
Dr. Shee Yong Ng is a pioneer in intelligent control systems, with a primary focus on the real-time application of dynamic fuzzy neural networks for robotic manipulators. Her seminal work, "Real-time implementation of a dynamic fuzzy neural networks controller for a SCARA" (2002), has garnered 27 citations, establishing a foundational framework for integrating adaptive neural architectures into precision motion control. This research addresses critical challenges in nonlinear system dynamics, enabling SCARA robots to achieve enhanced trajectory tracking and disturbance rejection through self-tuning fuzzy logic. Dr. Ng’s contributions bridge theoretical neural network design with practical industrial automation, demonstrating how dynamic fuzzy systems can optimize performance in real-time manufacturing environments. Her work has influenced subsequent studies in adaptive robotics, particularly in the development of computationally efficient controllers for multi-axis systems. By validating her approach through hardware implementation, she has provided a replicable model for engineers seeking to reduce reliance on traditional PID controllers in high-precision tasks. Dr. Ng’s research remains a cornerstone for scholars exploring hybrid AI-driven control strategies, underscoring her impact on the evolution of smart manufacturing and autonomous robotic systems.
Research Focus
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Top Papers
- 1