Physics-informed structured learning of a class of recurrent neural networks with guaranteed properties

Daniele Ravasio, Claudia Sbardi, Marcello Farina +1

This paper proposes a physics-informed learning framework for a class of recurrent neural networks tailored to large-scale and networked systems. The approach aims to learn control…