Publications
Key references
See my publications also at Google Scholar
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2024. Physics-Informed Neural Nets for Control of Dynamical Systems. Neurocomputing. 579
(1014.48 KB)
(1014.48 KB) .
2015. 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)
(5.14 MB) .
2012. Learning Slow Features with Reservoir Computing for Biologically-inspired Robot Localization. Neural Networks. 25:178-190. (2.77 MB)
(2.77 MB) .
2011. Reservoir Computing Architectures for Modeling Robot Navigation Systems. (21.33 MB)
(21.33 MB) .
2007. Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing. Neural Processing Letters. 26:233–249. (8.43 MB)
(8.43 MB) 
] .
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).
2007. Event detection and localization in mobile robot navigation using reservoir computing. Artificial Neural Networks -- ICANN 2007. Lecture Notes in Computer Science, vol 4669:660-669. (294.37 KB)
(294.37 KB).
2005. Evolutionary fuzzy system for architecture control in a constructive neural network. 6th IEEE International Symposium on Computational Intelligence in Robotics and Automation. :541-546. (117.01 KB)
(117.01 KB).
2007. Experiments with Reservoir Computing on the road sign problem. Proceedings of the VIII Brazilian Congress on Neural Networks (CBRN). (221.65 KB)
(221.65 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).
2021. Echo State Networks for Practical Nonlinear Model Predictive Control of Unknown Dynamic Systems. IEEE Transactions on Neural Networks and Learning Systems. :1-15. (1.01 MB)
(1.01 MB).
2008. Event detection and localization for small mobile robots using reservoir computing. Neural Networks. 21:862–871. (2.68 MB)
(2.68 MB)