Abstract: This study presents a physics-informed self-attention neural network for real-time impact localization in metallic structures using Fiber Bragg Grating sensor networks, overcoming the ...

Abstract: The sampling rate of input and output signals is known to play a critical role in the identification and control of dynamical systems. For slow-sampled continuous-time systems that do not ...