Online learning control with Echo State Networks of an oil production platform. - Jean Panaioti Jordanou; Eric Aislan Antonelo; Eduardo Camponogara (Eng. Appl. Artif. Intell., 2019)

Physics-Informed Neural Nets-based Control. - Eric Aislan Antonelo; Eduardo Camponogara; Laio Oriel Seman; Eduardo Rehbein de Souza; Jean Panaioti Jordanou; Jomi F. Hübner (CoRR, 2021)

Nonlinear Model Predictive Control of Electrical Submersible Pumps based on Echo State Networks. - Jean Panaioti Jordanou; Iver Osnes; Sondre B. Hernes; Eduardo Camponogara; Eric Aislan Antonelo; Lars Imsland (Adv. Eng. Informatics, 2022)

Echo State Networks for Practical Nonlinear Model Predictive Control of Unknown Dynamic Systems. - Jean Panaioti Jordanou; Eric Aislan Antonelo; Eduardo Camponogara (IEEE Trans. Neural Networks Learn. Syst., 2022)

Investigation of proper orthogonal decomposition for echo state networks. - Jean Panaioti Jordanou; Eric Aislan Antonelo; Eduardo Camponogara; Eduardo Gildin (Neurocomputing, 2023)

Physics-informed neural nets for control of dynamical systems. - Eric Aislan Antonelo; Eduardo Camponogara; Laio Oriel Seman; Jean Panaioti Jordanou; Eduardo Rehbein de Souza; Jomi Fred Hübner (Neurocomputing, 2024)

Identifying large-scale linear parameter varying systems with dynamic mode decomposition methods. - Jean Panaioti Jordanou; Eduardo Camponogara; Eduardo Gildin (J. Comput. Phys., 2025)