Daniele Masti

According to our database, Daniele Masti authored at least 25 papers between 2018 and 2026.

Collaborative distances:

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

2026

Optimal Job Scheduling in Real-Time Cyber-Physical Systems: A Soft-Computing Approach.

Daniele Masti, Francesco Smarra, Francesco Basciani, Paolo Serri, Patrizio Pelliccione

IEEE Trans. Ind. Informatics, April, 2026

Intelligent automatic load test generation for elastic microservice applications: A falsification-based approach.

Marco Zamponi, Daniele Masti, Emilio Incerto, Franco Raimondi, Mirco Tribastone

J. Syst. Softw., 2026

Fault-tolerant control of nonlinear systems: An inductive synthesis approach.

Daniele Masti, Davide Grande, Andrea Peruffo, Filippo Fabiani

Autom., 2026

AIPerfLLM: 4th 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

Proceedings of the Companion of the 17th ACM/SPEC International Conference on Performance Engineering, 2026

2025

Inverse Optimality for Fair Digital Twins: A Preference-based approach.

Daniele Masti, Francesco Basciani, Arianna Fedeli, Girgio Gnecco, Francesco Smarra

CoRR, December, 2025

A neural network-based approach to hybrid systems identification for control.

Filippo Fabiani, Bartolomeo Stellato, Daniele Masti, Paul J. Goulart

Autom., 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

Proceedings of the Companion of the 16th ACM/SPEC International Conference on Performance Engineering, 2025

Human-Like Trajectories Generation via Receding Horizon Tracking Applied to the TickTacking Interface.

Daniele Masti, Stefano Menchetti, Çagri Erdem, Giorgio Gnecco, Davide Rocchesso

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

A virtual sensor fusion approach for state of charge estimation of lithium-ion cells.

Davide Previtali, Daniele Masti, Mirko Mazzoleni, Fabio Previdi

Proceedings of the 51st Annual Conference of the IEEE Industrial Electronics Society, 2025

Certified Inductive Synthesis for Online Mixed-Integer Optimization.

Marco Zamponi, Emilio Incerto, Daniele Masti, Mirco Tribastone

Proceedings of the ACM/IEEE 16th International Conference on Cyber-Physical Systems, 2025

Enhancing direct data-driven model-reference controllers from open loop data: a closed-loop estimation approach.

Daniele Masti, Filippo Fabiani, Valentina Breschi

Proceedings of the 2025 European Control Conference, 2025

2024

AIPerf'24: 2nd International Workshop on Artificial Intelligence for Performance Modeling, Prediction, and Control.

Emilio Incerto, Marin Litoiu, Daniele Masti

Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

2023

Auto-tuning of reference models in direct data-driven control.

Daniele Masti, Valentina Breschi, Simone Formentin, Alberto Bemporad

Autom., September, 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

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

Cybersecurity Considerations for Communication Based Train Control.

Simone Soderi, Daniele Masti, Matti Hämäläinen, Jari H. Iinatti

IEEE Access, 2023

Let's Take Back Control: A Journey through a Novel Generation of Control Techniques for Performance Engineering.

Daniele Masti

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

2022

Tuning LQR Controllers: A Sensitivity-Based Approach.

Daniele Masti, Mario Zanon, Alberto Bemporad

IEEE Control. Syst. Lett., 2022

2021

A machine-learning approach to synthesize virtual sensors for parameter-varying systems.

Daniele Masti, Daniele Bernardini, Alberto Bemporad

Eur. J. Control, 2021

Learning nonlinear state-space models using autoencoders.

Daniele Masti, Alberto Bemporad

Autom., 2021

2020

Direct data-driven design of neural reference governors.

Daniele Masti, Valentina Breschi, Simone Formentin, Alberto Bemporad

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

NAW-NET: neural anti-windup control for saturated nonlinear systems.

Valentina Breschi, Daniele Masti, Simone Formentin, Alberto Bemporad

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Learning virtual sensors for estimating the scheduling signal of parameter-varying systems.

Daniele Masti, Daniele Bernardini, Alberto Bemporad

Proceedings of the 27th Mediterranean Conference on Control and Automation, 2019

Learning binary warm starts for multiparametric mixed-integer quadratic programming.

Daniele Masti, Alberto Bemporad

Proceedings of the 17th European Control Conference, 2019

2018

Learning Nonlinear State-Space Models Using Deep Autoencoders.

Daniele Masti, Alberto Bemporad

Proceedings of the 57th IEEE Conference on Decision and Control, 2018