most citedModel predictive control design for dynamical systems learned by Long Short-Term Memory Networks

7 citations · 7 across the 1 of their papers we have counts for

collaborators

1 paper

eess.SY2019★ 7 cited

Model predictive control design for dynamical systems learned by Long Short-Term Memory Networks

Enrico Terzi, Fabio Bonassi, Marcello Farina +1

This paper analyzes the stability-related properties of Long Short-Term Memory (LSTM) networks and investigates their use as the model of the plant in the design of Model Predictiv…