Publications
Export 5 results:
Author Title Type [ Year
] Filters: Author is Eduardo Camponogara [Clear All Filters]
.
2024. Physics-Informed Neural Nets for Control of Dynamical Systems. Neurocomputing. 579
(1014.48 KB)
(1014.48 KB).
2024. Physics-Informed Neural Networks with Skip Connections for Modeling and Control of Gas-Lifted Oil Wells. Applied Soft Computing. 158 (1.83 MB)
(1.83 MB).
2023. Investigation of Proper Orthogonal Decomposition for Echo State Networks. Neurocomputing. :126395. (555.51 KB)
(555.51 KB).
2022. Nonlinear Model Predictive Control of Electrical Submersible Pumps based on Echo State Networks . Advanced Engineering Informatics. 52 (633.48 KB)
(633.48 KB).
2019. Online Learning Control with Echo State Networks of an Oil Production Platform. Engineering Applications of Artificial Intelligence. 85:214-228. (512.33 KB)
(512.33 KB).
2018. Nonlinear Model Predictive Control of an Oil Well with Echo State Networks. IFAC-PapersOnLine (3rd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production OOGP 2018). 51:13-18. (386.53 KB)
(386.53 KB).
2017. Echo State Networks for Data-driven Downhole Pressure Estimation in Gas-lift Oil Wells. Neural Networks. 85:106-117. (913.18 KB)
(913.18 KB).
2017. Recurrent Neural Network based control of an Oil Well. XIII Brazilian Symposium on Intelligent Automation (SBAI). :924-931. (412.17 KB)
(412.17 KB).
2015. An Echo State Network-based Soft Sensor of Downhole Pressure for a Gas-lift Oil Well. 16th International Conference on Engineering Applications of Neural Networks. Communications in Computer and Information Science, vol 517:379-389. (1010.5 KB)
(1010.5 KB).
2015. System Identification of a Vertical Riser Model with Echo State Networks. IFAC-PapersOnLine (2nd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production). 48(6):304-310. (549.4 KB)
(549.4 KB)