Systematic Construction of Continuous-Time Neural Networks for Linear Dynamical Systems

Proposing a gradient-free algorithm to construct sparse neural networks directly from Linear Time-Invariant (LTI) systems, showcasing the advantages of horizontal hidden layers over vertical ones.