A Physics-Guided Reversible Residual Neural Network Model: Applied to Build Forward and Inverse Models for Turntable Servo System
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DOI: 10.1109/tii.2022.3200668
Abstract: To satisfy the application requirements of the forward/inverse model for various control algorithms used in servo systems, a physics-guided reversible residual neural network (PGRRNN) model is proposed, which is applied to build forward/inverse model for… read more here.
Keywords: forward inverse; network; physics; reversible residual ... See more keywords