Kok-Zuea Tang
Papers
1
Total Citations
6
H-Index
1
About
Dr. Kok-Zuea Tang is a leading researcher in precision motion control, with a particular focus on the intersection of sensor signal processing and neural network methodologies. His seminal 2004 work, "Neural network-based correction and interpolation of encoder signals for precision motion control," has garnered 6 citations and remains a foundational reference in the field. In this study, Dr. Tang pioneered the use of neural networks to correct and interpolate incremental encoder signals, directly addressing a critical bottleneck in achieving high-resolution, high-accuracy motion in robotics and industrial drive systems. His contributions have enabled more reliable and precise measurement of position and velocity, which is essential for advanced automation and mechatronic systems. By demonstrating that intelligent algorithms can compensate for sensor imperfections in real time, Dr. Tang’s work has influenced subsequent research in sensor fusion and adaptive control. His research continues to drive innovation in precision engineering, making him a notable figure for students and researchers interested in the practical application of neural networks to physical control systems.
Research Focus
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Top Papers
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