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most citedAn incremental input-to-state stability condition for a generic class of recurrent neural networks

2 citations · 3 across the 4 of their papers we have counts for

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eess.SY2021★ 1 cited

Advanced control based on Recurrent Neural Networks learned using Virtual Reference Feedback Tuning and application to an Electronic Throttle Body (with supplementary material)

William D'Amico, Marcello Farina, Giulio Panzani

In this paper the application of Virtual Reference Feedback Tuning (VRFT) for control of nonlinear systems with regulators defined by Echo State Networks (ESN) and Long Short Term…