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20232025
most citedCombining Robust Control and Machine Learning for Uncertain Nonlinear Systems Subject to Persistent Disturbances

5 citations · 7 across the 3 of their papers we have counts for

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cs.LG2024

Physics-Informed Echo State Networks for Modeling Controllable Dynamical Systems

Eric Mochiutti, Eric Aislan Antonelo, Eduardo Camponogara

Echo State Networks (ESNs) are recurrent neural networks usually employed for modeling nonlinear dynamic systems with relatively ease of training. By incorporating physical laws in…