State-space digital filters constitute a versatile class of algorithms used to process signals by modelling dynamic systems through state variables. Their representation encompasses both the system’s ...
Abstract: This article proposes a deep Koopman-based identification method for nonlinear dynamical systems with modeling residuals learned recursively by incremental Gaussian process regression (IGPR) ...