2 papers
eess.SY2025
Identifying Large-Scale Linear Parameter Varying Systems with Dynamic Mode Decomposition Methods
Jean Panaioti Jordanou, Eduardo Camponogara, Eduardo Gildin
Linear Parameter Varying (LPV) Systems are a well-established class of nonlinear systems with a rich theory for stability analysis, control, and analytical response finding, among…
cs.LG2025
Physics-Informed Echo State Networks for Modeling Controllable Dynamical Systems
Eric Mochiutti, Eric Aislan Antonelo, Eduardo Camponogara
Echo State Networks (ESNs) are recurrent neural networks usually employed for modeling nonlinear dynamic systems with relatively ease of training. By incorporating physical laws in…