Daniele Masti

Orcid: 0000-0002-2889-2309

According to our database1, Daniele Masti authored at least 13 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Auto-tuning of reference models in direct data-driven control.
Autom., September, 2023

Railway Cyber-Security in the Era of Interconnected Systems: A Survey.
IEEE Trans. Intell. Transp. Syst., 2023

Counter-Example Guided Inductive Synthesis of Control Lyapunov Functions for Uncertain Systems.
IEEE Control. Syst. Lett., 2023

Cybersecurity Considerations for Communication Based Train Control.
IEEE Access, 2023

Let's Take Back Control: A Journey through a Novel Generation of Control Techniques for Performance Engineering.
Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

2022
Tuning LQR Controllers: A Sensitivity-Based Approach.
IEEE Control. Syst. Lett., 2022

2021
A machine-learning approach to synthesize virtual sensors for parameter-varying systems.
Eur. J. Control, 2021

Learning nonlinear state-space models using autoencoders.
Autom., 2021

2020
Direct data-driven design of neural reference governors.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

NAW-NET: neural anti-windup control for saturated nonlinear systems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Learning virtual sensors for estimating the scheduling signal of parameter-varying systems.
Proceedings of the 27th Mediterranean Conference on Control and Automation, 2019

Learning binary warm starts for multiparametric mixed-integer quadratic programming.
Proceedings of the 17th European Control Conference, 2019

2018
Learning Nonlinear State-Space Models Using Deep Autoencoders.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018


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