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 model-driven framework for supervised reconfiguration of satellite schedulers
2026-01-01 Basciani, Francesco; Fedeli, Arianna; Masti, Daniele; Iovino, Ludovico; Serri, Paolo; Pelliccione, Patrizio
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.
Don’t Retest Everything: Auditable Regression Scoping for Safety-Critical Systems
2026-01-01 Basciani, Francesco; Masti, Daniele; Pelliccione, Patrizio; Petrucci, Alberto; Raimondi, Franco; Sales, Emerson; Serri, Paolo
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
Fault-tolerant control of nonlinear systems: An inductive synthesis approach
2026-01-01 Masti, Daniele; Grande, Davide; Peruffo, Andrea; Fabiani, Filippo
Human-Like Trajectories Generation via Receding Horizon Tracking Applied to the TickTacking Interface
2025-01-01 Masti, Daniele; Menchetti, Stefano; Erdem, Çağrı; Gnecco, Giorgio; Rocchesso, Davide
Intelligent automatic load test generation for elastic microservice applications: a falsification-based approach
2026-01-01 Zamponi, Marco; Masti, Daniele; Incerto, Emilio; Raimondi, Franco; Tribastone, Mirco
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.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A machine-learning approach to synthesize virtual sensors for parameter-varying systems | 1-gen-2021 | Masti, D.; Bernardini, D.; Bemporad, A. | |
| A model-driven framework for supervised reconfiguration of satellite schedulers | 1-gen-2026 | Basciani, Francesco; Fedeli, Arianna; Masti, Daniele; Iovino, Ludovico; Serri, Paolo; Pelliccione, Patrizio | |
| A neural network-based approach to hybrid systems identification for control | 1-gen-2025 | Fabiani, Filippo; Stellato, Bartolomeo; Masti, Daniele; Goulart, Paul | |
| A virtual sensor fusion approach for state of charge estimation of lithium-ion cells | 1-gen-2025 | Previtali, Davide; Masti, Daniele; Mazzoleni, Mirko; Previdi, Fabio | |
| AIPerf'24: 2nd International Workshop on Artificial Intelligence for Performance Modeling, Prediction, and Control | 1-gen-2024 | Incerto, Emilio; Litoiu, Marin; Masti, Daniele | |
| AIPerfLLM: 3rd International Workshop on Performance Optimization in the LLM world | 1-gen-2025 | 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 | 1-gen-2023 | Masti, D.; Breschi, V.; Formentin, S.; Bemporad, A. | |
| Certified Inductive Synthesis for Online Mixed-Integer Optimization | 1-gen-2025 | Zamponi, Marco; Incerto, Emilio; Masti, Daniele; Tribastone, Mirco | |
| Counter-Example Guided Inductive Synthesis of Control Lyapunov Functions for Uncertain Systems | 1-gen-2023 | Masti, D.; Fabiani, F.; Gnecco, G.; Bemporad, A. | |
| Cybersecurity Considerations for Communication Based Train Control | 1-gen-2023 | Soderi, Simone; Masti, Daniele; Hämäläinen, Matti; Iinatti, Jari | |
| Development of an innovative and sustainable sail-drone | 1-gen-2017 | Benedetto, A.; Luca, P.; Marco, M.; Corrieri, A.; Masti, D.; Vanni, L. | |
| Direct data-driven design of neural reference governors | 1-gen-2020 | Masti, D.; Breschi, V.; Formentin, S.; Bemporad, A. | |
| Don’t Retest Everything: Auditable Regression Scoping for Safety-Critical Systems | 1-gen-2026 | Basciani, Francesco; Masti, Daniele; Pelliccione, Patrizio; Petrucci, Alberto; Raimondi, Franco; Sales, Emerson; Serri, Paolo | |
| Enhancing direct data-driven model-reference controllers from open loop data: a closed-loop estimation approach | 1-gen-2025 | Masti, Daniele; Fabiani, Filippo; Breschi, Valentina | |
| Fault-tolerant control of nonlinear systems: An inductive synthesis approach | 1-gen-2026 | Masti, Daniele; Grande, Davide; Peruffo, Andrea; Fabiani, Filippo | |
| Human-Like Trajectories Generation via Receding Horizon Tracking Applied to the TickTacking Interface | 1-gen-2025 | Masti, Daniele; Menchetti, Stefano; Erdem, Çağrı; Gnecco, Giorgio; Rocchesso, Davide | |
| Intelligent automatic load test generation for elastic microservice applications: a falsification-based approach | 1-gen-2026 | Zamponi, Marco; Masti, Daniele; Incerto, Emilio; Raimondi, Franco; Tribastone, Mirco | |
| Intelligent Coordination System for Autonomous Domestic Heating: An AI-Driven Test-Bench | 1-gen-2025 | Petrucci, Alberto; Masti, Daniele; Prestia, Kiran; Basciani, Francesco | |
| Learning affine predictors for MPC of nonlinear systems via artificial neural networks | 1-gen-2020 | Masti, D.; Smarra, F.; D'Innocenzo, A.; Bemporad, A. | |
| Learning approximate semi-explicit hybrid MPC with an application to microgrids | 1-gen-2020 | Masti, D.; Pippia, T.; Bemporad, A.; De Schutter, B. |