142 citations · 145 across the 3 of their papers we have counts for
3 papers
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…
Investigation of Proper Orthogonal Decomposition for Echo State Networks
Jean Panaioti Jordanou, Eric Aislan Antonelo, Eduardo Camponogara +1
Echo State Networks (ESN) are a type of Recurrent Neural Network that yields promising results in representing time series and nonlinear dynamic systems. Although they are equipped…
Physics-Informed Neural Nets for Control of Dynamical Systems
Eric Aislan Antonelo, Eduardo Camponogara, Laio Oriel Seman +3
Physics-informed neural networks (PINNs) impose known physical laws into the learning of deep neural networks, making sure they respect the physics of the process while decreasing…