Abstract: In recent years, deep-learning-based methods have been introduced for solving inverse scattering problems (ISPs), but most of them heavily rely on large training datasets and suffer from ...

Abstract: This article focuses on the design of a distributed neural network controller to address the unknown disturbance and error convergence problems in multiple ...