Masti, Daniele
Masti, Daniele
I.M.T. (Istituzioni, Mercati, Tecnologie) Alti Studi
A machine-learning approach to synthesize virtual sensors for parameter-varying systems
2021-01-01 Masti, D.; Bernardini, D.; Bemporad, A.
AIPerf'24: 2nd International Workshop on Artificial Intelligence for Performance Modeling, Prediction, and Control
2024-01-01 Incerto, Emilio; Litoiu, Marin; Masti, Daniele
Auto-tuning of reference models in direct data-driven control
2023-01-01 Masti, D.; Breschi, V.; Formentin, S.; Bemporad, A.
Counter-Example Guided Inductive Synthesis of Control Lyapunov Functions for Uncertain Systems
2023-01-01 Masti, D.; Fabiani, F.; Gnecco, G.; Bemporad, A.
Cybersecurity Considerations for Communication Based Train Control
2023-01-01 Soderi, Simone; Masti, Daniele; Hämäläinen, Matti; Iinatti, Jari
Development of an innovative and sustainable sail-drone
2017-01-01 Benedetto, A.; Luca, P.; Marco, M.; Corrieri, A.; Masti, D.; Vanni, L.
Direct data-driven design of neural reference governors
2020-01-01 Masti, D.; Breschi, V.; Formentin, S.; Bemporad, A.
Learning affine predictors for MPC of nonlinear systems via artificial neural networks
2020-01-01 Masti, D.; Smarra, F.; D'Innocenzo, A.; Bemporad, A.
Learning approximate semi-explicit hybrid MPC with an application to microgrids
2020-01-01 Masti, D.; Pippia, T.; Bemporad, A.; de Schutter, B.
Learning explicit binary warm starts for mixed-integer programming
2019-01-01 Masti, D.; Bemporad, A.
Learning Nonlinear State-Space Models Using Deep Autoencoders
2018-01-01 Masti, Daniele; Bemporad, Alberto
Learning nonlinear state–space models using autoencoders
2021-01-01 Masti, D.; Bemporad, A.
Learning virtual sensors for estimating the scheduling signal of parameter-varying systems
2019-01-01 Masti, Daniele; Bernardini, D.; Bemporad, A.
NAW-NET: Neural anti-windup control for saturated nonlinear systems
2020-01-01 Breschi, V.; Masti, D.; Formentin, S.; Bemporad, A.
Railway Cyber-Security in the Era of Interconnected Systems: A Survey
2023-01-01 Soderi, Simone; Masti, Daniele; Zacchia Lun, Yuriy
Tuning LQR Controllers: A Sensitivity-Based Approach
2021-01-01 Masti, D.; Zanon, M.; Bemporad, A.