Learning multi-step prediction models for receding horizon control. - Enrico Terzi; Lorenzo Fagiano; Marcello Farina; Riccardo Scattolini (ECC, 2018)

Robust predictive control with data-based multi-step prediction models. - Enrico Terzi; Marcello Farina; Lorenzo Fagiano; Riccardo Scattolini (ECC, 2018)

On multi-step prediction models for receding horizon control. - Enrico Terzi; Lorenzo Fagiano; Marcello Farina; Riccardo Scattolini (CoRR, 2018)

Learning-based predictive control for MIMO systems. - Jose R. Salvador; Enrico Terzi; Marcello Farina; Daniel R. Ramírez 001; Lorenzo Fagiano; David Muñoz de la Peña; Riccardo Scattolini (CDC, 2019)

Echo State Networks: analysis, training and predictive control. - Luca Bugliari Armenio; Enrico Terzi; Marcello Farina; Riccardo Scattolini (ECC, 2019)

Learning-based predictive control for linear systems: A unitary approach. - Enrico Terzi; Lorenzo Fagiano; Marcello Farina; Riccardo Scattolini (Autom., 2019)

Model predictive control design for dynamical systems learned by Long Short-Term Memory Networks. - Enrico Terzi; Marcello Farina; Riccardo Scattolini (CoRR, 2019)

Scenario optimization for optimal training of Echo State Networks. - Luca Bugliari Armenio; Lorenzo Fagiano; Enrico Terzi; Marcello Farina; Riccardo Scattolini (CoRR, 2019)

Model Predictive Control Design for Dynamical Systems Learned by Echo State Networks. - Luca Bugliari Armenio; Enrico Terzi; Marcello Farina; Riccardo Scattolini (IEEE Control. Syst. Lett., 2019)

LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification. - Fabio Bonassi; Enrico Terzi; Marcello Farina; Riccardo Scattolini (L4DC, 2020)

Learning-based model predictive control: theory and applications. - Enrico Terzi (2020)

Robust multi-rate predictive control using multi-step prediction models learned from data. - Enrico Terzi; Marcello Farina; Lorenzo Fagiano; Riccardo Scattolini (Autom., 2022)