Publications
Key references
See my publications also at Google Scholar
Physics-Informed Neural Nets for Control of Dynamical Systems. Neurocomputing. 579 (1014.48 KB) .
2024.
On Learning Navigation Behaviors for Small Mobile Robots With Reservoir Computing Architectures. IEEE Transactions on Neural Networks and Learning Systems. 26:763-780. (5.14 MB) .
2015.
Learning Slow Features with Reservoir Computing for Biologically-inspired Robot Localization. Neural Networks. 25:178-190. (2.77 MB) .
2012.
Reservoir Computing Architectures for Modeling Robot Navigation Systems. (21.33 MB) .
2011.
Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing. Neural Processing Letters. 26:233–249. (8.43 MB) .
2007.
Export 5 results:
Author [ Title] Type Year Filters: Author is Eduardo Camponogara [Clear All Filters]
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)
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2015. Echo State Networks for Data-driven Downhole Pressure Estimation in Gas-lift Oil Wells. Neural Networks. 85:106-117. (913.18 KB)
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2017. Investigation of Proper Orthogonal Decomposition for Echo State Networks. Neurocomputing. :126395. (555.51 KB)
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2023. 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)
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2018. Nonlinear Model Predictive Control of Electrical Submersible Pumps based on Echo State Networks . Advanced Engineering Informatics. 52 (633.48 KB)
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2022. Online Learning Control with Echo State Networks of an Oil Production Platform. Engineering Applications of Artificial Intelligence. 85:214-228. (512.33 KB)
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2019. Physics-Informed Neural Nets for Control of Dynamical Systems. Neurocomputing. 579 (1014.48 KB)
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2024. .
Submitted. Recurrent Neural Network based control of an Oil Well. XIII Brazilian Symposium on Intelligent Automation (SBAI). :924-931. (412.17 KB)
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2017. 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)
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2015.