Publications
Key references
See my publications also at Google Scholar
Physics-Informed Neural Nets for Control of Dynamical Systems. Neurocomputing. 579
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2024.
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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.
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Learning Slow Features with Reservoir Computing for Biologically-inspired Robot Localization. Neural Networks. 25:178-190.
(2.77 MB) .
2012.
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Reservoir Computing Architectures for Modeling Robot Navigation Systems.
(21.33 MB) .
2011.
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Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing. Neural Processing Letters. 26:233–249.
(8.43 MB) .
2007.
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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.
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2015. .
Submitted. ![application/pdf](/modules/file/icons/application-pdf.png)
Physics-Informed Neural Nets for Control of Dynamical Systems. Neurocomputing. 579
(1014.48 KB)
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2024. ![application/pdf](/modules/file/icons/application-pdf.png)
Online Learning Control with Echo State Networks of an Oil Production Platform. Engineering Applications of Artificial Intelligence. 85:214-228.
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2019. ![application/pdf](/modules/file/icons/application-pdf.png)
Nonlinear Model Predictive Control of Electrical Submersible Pumps based on Echo State Networks . Advanced Engineering Informatics. 52
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2022. ![application/pdf](/modules/file/icons/application-pdf.png)
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.
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2018. ![application/pdf](/modules/file/icons/application-pdf.png)
Investigation of Proper Orthogonal Decomposition for Echo State Networks. Neurocomputing. :126395.
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2023. ![application/pdf](/modules/file/icons/application-pdf.png)
Echo State Networks for Data-driven Downhole Pressure Estimation in Gas-lift Oil Wells. Neural Networks. 85:106-117.
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2017. ![application/pdf](/modules/file/icons/application-pdf.png)
Recurrent Neural Network based control of an Oil Well. XIII Brazilian Symposium on Intelligent Automation (SBAI). :924-931.
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2017. ![application/pdf](/modules/file/icons/application-pdf.png)
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.
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2015. ![application/pdf](/modules/file/icons/application-pdf.png)