Abstract: Network-induced delays pose a significant challenge for high-performance disturbance suppression in networked control systems (NCSs), particularly when compounded by data packet losses. To ...
Abstract: The existing 3D Convolutional Neural Networks (3D-CNNs) suffer from a large number of parameters and high training complexity, while Spatial-Temporal Graph Convolutional Networks (ST-GCNs) ...