5 citations · 7 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…
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…
Combining Robust Control and Machine Learning for Uncertain Nonlinear Systems Subject to Persistent Disturbances
A. Banderchuk, D. Coutinho, E. Camponogara
This paper proposes a control strategy consisting of a robust controller and an Echo State Network (ESN) based control law for stabilizing a class of uncertain nonlinear discrete-t…