Mathematics has always stood quietly behind great changes, and the rise of artificial intelligence is no different. As ...
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
Abstract: Periodic repetitive tasks are common in industrial production, especially in intelligent equipment for batch processing. This paper studies the disturbance suppression problem of linear ...
Abstract: This article considers the adaptive stability control of a class of $2\times 2$ linear hyperbolic PDE systems. The PDE model is subject to constant but in-domain and boundary unknown ...