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Jean P Jordanou
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Nonlinear Model Predictive Control of an Oil Well with Echo State Networks
JP Jordanou, E Camponogara, EA Antonelo, MA Schmitz de Aguiar
3rd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production …, 2018
282018
Online learning control with echo state networks of an oil production platform
JP Jordanou, EA Antonelo, E Camponogara
Engineering Applications of Artificial Intelligence 85, 214-228, 2019
242019
Physics-informed neural nets for control of dynamical systems
EA Antonelo, E Camponogara, LO Seman, JP Jordanou, ER de Souza, ...
Neurocomputing, 127419, 2024
212024
Echo state networks for practical nonlinear model predictive control of unknown dynamic systems
JP Jordanou, EA Antonelo, E Camponogara
IEEE transactions on neural networks and learning systems 33 (6), 2615-2629, 2021
182021
Nonlinear Model Predictive Control of Electrical Submersible Pumps based on Echo State Networks
JP Jordanou, I Osnes, SB Hernes, E Camponogara, EA Antonelo, ...
Advanced Engineering Informatics 52, 101553, 2022
122022
Physics-informed neural nets-based control
EA Antonelo, E Camponogara, LO Seman, ER de Souza, JP Jordanou, ...
ArXiv e-print 2104, 2021
82021
Recurrent neural network based control of an oil well
JP Jordanou, EA Antonelo, E Camponogara, MA S de Aguiar
Brazilian Symposium on Intelligent Automation, Porto Alegre 1-4 October 2017 …, 2017
82017
Investigation of Proper Orthogonal Decomposition for Echo State Networks
JP Jordanou, EA Antonelo, E Camponogara, E Gildin
Neurocomputing, 126395, 2023
52023
Echo state networks for online learning control and MPC of unknown dynamic systems: Applications in the control of oil wells
JP Jordanou
12019
Physics-Informed Neural Nets for Control of Dynamical Systems
E Aislan Antonelo, E Camponogara, L Seman, JP Jordanou, ...
Eduardo and Seman, Laio and Jordanou, Jean Panaioti and de Souza, Eduardo …, 2021
2021
Recurrent Neural Network Based Control for Risers and Oil Wells
JP Jordanou
Florianópolis, SC., 2017
2017
Enhancing GOR Estimation in Gas-lift Oil Production: A Comparative Study of Support Vector Machines and Neural Networks
JF de Amorim, MT Oliveira, JP Jordanou, UF Moreno, BF Vieira
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Articles 1–12