Joint Neural Network Design for Mixed-Timescale Systems

This paper introduces a new joint neural network (NN) design specifically tailored for systems characterized by mixed-timescale dynamics. This design leverages the inherent structure of such systems to improve model accuracy and efficiency. The proposed approach aims to address the challenges posed by the diverse time scales present in these systems, allowing for more effective modeling and analysis.