most citedTowards lifelong learning of Recurrent Neural Networks for control design

9 citations · 9 across the 1 of their papers we have counts for

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eess.SY2022★ 9 cited

Towards lifelong learning of Recurrent Neural Networks for control design

Fabio Bonassi, Jing Xie, Marcello Farina +1

This paper proposes a method for lifelong learning of Recurrent Neural Networks, such as NNARX, ESN, LSTM, and GRU, to be used as plant models in control system synthesis. The prob…