Learning Synchronous Control Based on Intelligent Methods for Ultra-precision Stage Systems
X Zhou, Y Qi, Z Wu, W Qi, A Li - IEEE Access, 2024 - ieeexplore.ieee.org
With the increasing demands on equipment accuracy, synchronous performance becomes
more and more significant for ultra-precision systems. In order to achieve nanometer-level …
more and more significant for ultra-precision systems. In order to achieve nanometer-level …
Deep-learning-based tracking-error prediction for two-axis machining
WR Wu, PS Chen - 2020 International Automatic Control …, 2020 - ieeexplore.ieee.org
Developments in deep learning have led to artificial neural networks being widely used in
various fields. This paper develops a deep-learning-based tracking-error predictor for two …
various fields. This paper develops a deep-learning-based tracking-error predictor for two …