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Jean P Jordanou
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Physics-informed neural nets for control of dynamical systems
EA Antonelo, E Camponogara, LO Seman, JP Jordanou, ER de Souza, ...
Neurocomputing 579, 127419, 2024
612024
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
312018
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
272019
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
222021
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
182022
Recurrent neural network based control of an oil well
JP Jordanou, EA Antonelo, E Camponogara, MA S de Aguiar
XIII Brazilian Symposium on Intelligent Automation (SBAI), 2017
102017
Investigation of proper orthogonal decomposition for echo state networks
JP Jordanou, EA Antonelo, E Camponogara, E Gildin
Neurocomputing 548, 126395, 2023
72023
Echo state networks for online learning control and MPC of unknown dynamic systems: Applications in the control of oil wells
JP Jordanou
22019
Optimizing GOR Prediction in Oil Wells: Efficacy of Convolutional Neural Networks with Hybrid Data Integration
JF de Amorim, JP Jordanou, UF Moreno, JEN Rico, BF Vieira
IFAC-PapersOnLine 58 (14), 241-246, 2024
2024
Methods for analysis and model predictive control of dynamic systems modeled with echo state networks
JP Jordanou
2024
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