MASTI, DANIELE
MASTI, DANIELE
A machine-learning approach to synthesize virtual sensors for parameter-varying systems
2021-01-01 Masti, D.; Bernardini, D.; Bemporad, A.
A neural network-based approach to hybrid systems identification for control
2025-01-01 Fabiani, Filippo; Stellato, Bartolomeo; Masti, Daniele; Goulart, Paul
A virtual sensor fusion approach for state of charge estimation of lithium-ion cells
2025-01-01 Previtali, Davide; Masti, Daniele; Mazzoleni, Mirko; Previdi, Fabio
AIPerf'24: 2nd International Workshop on Artificial Intelligence for Performance Modeling, Prediction, and Control
2024-01-01 Incerto, Emilio; Litoiu, Marin; Masti, Daniele
AIPerfLLM: 3rd International Workshop on Performance Optimization in the LLM world
2025-01-01 Chow, Kingsum; Incerto, Emilio; Litoiu, Marin; Chang, Zhihao; Rajput, Anil; Ban, Khun; Masti, Daniele; Lyu, Zhiheng
Auto-tuning of reference models in direct data-driven control
2023-01-01 Masti, D.; Breschi, V.; Formentin, S.; Bemporad, A.
Certified Inductive Synthesis for Online Mixed-Integer Optimization
2025-01-01 Zamponi, Marco; Incerto, Emilio; Masti, Daniele; Tribastone, Mirco
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.
Enhancing direct data-driven model-reference controllers from open loop data: a closed-loop estimation approach
2025-01-01 Masti, Daniele; Fabiani, Filippo; Breschi, Valentina
Intelligent Coordination System for Autonomous Domestic Heating: An AI-Driven Test-Bench
2025-01-01 Petrucci, Alberto; Masti, Daniele; Prestia, Kiran; Basciani, Francesco
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; D., Bernardini; A., Bemporad
NAW-NET: Neural anti-windup control for saturated nonlinear systems
2020-01-01 Breschi, V.; Masti, D.; Formentin, S.; Bemporad, A.