Comparative Study of Neural State-Space Models for Nonlinear Pendulum Identification
This paper presents a simulation-based comparative study of neural state-space models (NSSMs) for the identification of a damped and forced nonlinear pendulum. Three model variants are considered: a baseline data-driven NSSM, a physics-informed NSSM, and a Lyapunov-constrained NSSM. A total of 50 training runs were exe...