Enrico Terzi

According to our database, Enrico Terzi authored at least 12 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Robust multi-rate predictive control using multi-step prediction models learned from data.

Enrico Terzi, Marcello Farina, Lorenzo Fagiano, Riccardo Scattolini

Autom., 2022

2020

Learning-based model predictive control: theory and applications.

Enrico Terzi

PhD thesis, 2020

LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification.

Fabio Bonassi, Enrico Terzi, Marcello Farina, Riccardo Scattolini

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

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

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 Long Short-Term Memory Networks.

Enrico Terzi, Marcello Farina, Riccardo Scattolini

CoRR, 2019

Learning-based predictive control for linear systems: A unitary approach.

Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini

Autom., 2019

Echo State Networks: analysis, training and predictive control.

Luca Bugliari Armenio, Enrico Terzi, Marcello Farina, Riccardo Scattolini

Proceedings of the 17th European Control Conference, 2019

Learning-based predictive control for MIMO systems.

Jose R. Salvador, Enrico Terzi, Marcello Farina, Daniel R. Ramírez, Lorenzo Fagiano, David Muñoz de la Peña, Riccardo Scattolini

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

On multi-step prediction models for receding horizon control.

Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini

CoRR, 2018

Robust predictive control with data-based multi-step prediction models.

Enrico Terzi, Marcello Farina, Lorenzo Fagiano, Riccardo Scattolini

Proceedings of the 16th European Control Conference, 2018

Learning multi-step prediction models for receding horizon control.

Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini

Proceedings of the 16th European Control Conference, 2018