Learning Nonlinear State-Space Models Using Deep Autoencoders. - Daniele Masti; Alberto Bemporad (CDC, 2018)

Learning binary warm starts for multiparametric mixed-integer quadratic programming. - Daniele Masti; Alberto Bemporad (ECC, 2019)

Learning virtual sensors for estimating the scheduling signal of parameter-varying systems. - Daniele Masti; Daniele Bernardini 001; Alberto Bemporad (MED, 2019)

NAW-NET: neural anti-windup control for saturated nonlinear systems. - Valentina Breschi; Daniele Masti; Simone Formentin; Alberto Bemporad (CDC, 2020)

Direct data-driven design of neural reference governors. - Daniele Masti; Valentina Breschi; Simone Formentin; Alberto Bemporad (CDC, 2020)

Learning nonlinear state-space models using autoencoders. - Daniele Masti; Alberto Bemporad (Autom., 2021)

A machine-learning approach to synthesize virtual sensors for parameter-varying systems. - Daniele Masti; Daniele Bernardini 001; Alberto Bemporad (Eur. J. Control, 2021)

Tuning LQR Controllers: A Sensitivity-Based Approach. - Daniele Masti; Mario Zanon; Alberto Bemporad (IEEE Control. Syst. Lett., 2022)

Let's Take Back Control: A Journey through a Novel Generation of Control Techniques for Performance Engineering. - Daniele Masti (ICPE (Companion), 2023)

Cybersecurity Considerations for Communication Based Train Control. - Simone Soderi; Daniele Masti; Matti Hämäläinen; Jari H. Iinatti (IEEE Access, 2023)

Counter-Example Guided Inductive Synthesis of Control Lyapunov Functions for Uncertain Systems. - Daniele Masti; Filippo Fabiani; Giorgio Gnecco; Alberto Bemporad (IEEE Control. Syst. Lett., 2023)

Railway Cyber-Security in the Era of Interconnected Systems: A Survey. - Simone Soderi; Daniele Masti; Yuriy Zacchia Lun (IEEE Trans. Intell. Transp. Syst., 2023)

Auto-tuning of reference models in direct data-driven control. - Daniele Masti; Valentina Breschi; Simone Formentin; Alberto Bemporad (Autom., 2023)

AIPerf'24: 2nd International Workshop on Artificial Intelligence for Performance Modeling, Prediction, and Control. - Emilio Incerto; Marin Litoiu; Daniele Masti (ICPE (Companion), 2024)

Certified Inductive Synthesis for Online Mixed-Integer Optimization. - Marco Zamponi; Emilio Incerto; Daniele Masti; Mirco Tribastone (ICCPS, 2025)

AIPerfLLM: 3rd International Workshop on Performance Optimization in the LLM world. - Kingsum Chow; Emilio Incerto; Marin Litoiu; Zhihao Chang; Anil Rajput; Khun Ban; Daniele Masti; Zhiheng Lyu (ICPE (Companion), 2025)

A neural network-based approach to hybrid systems identification for control. - Filippo Fabiani; Bartolomeo Stellato; Daniele Masti; Paul J. Goulart (Autom., 2025)

Fault-tolerant control of nonlinear systems: An inductive synthesis approach. - Daniele Masti; Davide Grande; Andrea Peruffo; Filippo Fabiani (CoRR, 2025)

Human-Like Trajectories Generation via Receding Horizon Tracking Applied to the TickTacking Interface. - Daniele Masti; Stefano Menchetti; Çagri Erdem; Giorgio Gnecco; Davide Rocchesso (CoRR, 2025)

A virtual sensor fusion approach for state of charge estimation of lithium-ion cells. - Davide Previtali; Daniele Masti; Mirko Mazzoleni; Fabio Previdi (CoRR, 2025)