E-LIB Suche - Ergebnisse für: Masti, Daniele

1

AIPerf'24: 2nd International Workshop on Artificial Intelli..:

, In: Companion of the 15th ACM/SPEC International Conference on Performance Engineering,

Incerto, Emilio ; Litoiu, Marin ; Masti, Daniele - p. 93 ff. , 2024

2

Railway Cyber-Security in the Era of Interconnected Systems..:

Soderi, Simone ; Masti, Daniele ; Lun, Yuriy Zacchia
IEEE Transactions on Intelligent Transportation Systems. 24 (2023) 7 - p. 6764-6779 , 2023

Link: https://doi.org/10.1109/..

3

Let's Take Back Control: A Journey through a Novel Generati..:

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

Masti, Daniele - p. 135 ff. , 2023

Link: https://dl.acm.org/doi/1..

4

Counter-Example Guided Inductive Synthesis of Control Lyapu..:

Masti, Daniele ; Fabiani, Filippo ; Gnecco, Giorgio.
IEEE Control Systems Letters. 7 (2023) - p. 2047-2052 , 2023

Link: https://doi.org/10.1109/..

5

Auto-tuning of reference models in direct data-driven contr..:

Masti, Daniele ; Breschi, Valentina ; Formentin, Simone.
Automatica. 155 (2023) - p. 111110 , 2023

Link: https://doi.org/10.1016/..

6

Cybersecurity Considerations for Communication Based Train ..:

Soderi, Simone ; Masti, Daniele ; Hämäläinen, Matti.
IEEE Access. 11 (2023) - p. 92312-92321 , 2023

Link: https://doi.org/10.1109/..

7

Tuning LQR Controllers: A Sensitivity-Based Approach:

Masti, Daniele ; Zanon, Mario ; Bemporad, Alberto
IEEE Control Systems Letters. 6 (2022) - p. 932-937 , 2022

Link: https://doi.org/10.1109/..

8

Learning nonlinear state–space models using autoencoders:

Masti, Daniele ; Bemporad, Alberto
Automatica. 129 (2021) - p. 109666 , 2021

Link: https://doi.org/10.1016/..

9

A machine-learning approach to synthesize virtual sensors f..:

Masti, Daniele ; Bernardini, Daniele ; Bemporad, Alberto
European Journal of Control. 61 (2021) - p. 40-49 , 2021

Link: https://doi.org/10.1016/..

10

Direct data-driven design of neural reference governors:

, In: 2020 59th IEEE Conference on Decision and Control (CDC),

Masti, Daniele ; Breschi, Valentina ; Formentin, Simone. - p. 4955-4960 , 2020

Link: https://doi.org/10.1109/..

11

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

, In: 2020 59th IEEE Conference on Decision and Control (CDC),

Breschi, Valentina ; Masti, Daniele ; Formentin, Simone. - p. 3335-3340 , 2020

Link: https://doi.org/10.1109/..

12

Counter-example guided inductive synthesis of control Lyapu..:

Masti, Daniele ; Fabiani, Filippo ; Gnecco, Giorgio.
http://arxiv.org/abs/2303.10024. , 2023

Link: http://arxiv.org/abs/230..

13

Railway cyber-security in the era of interconnected systems..:

Soderi, Simone ; Masti, Daniele ; Lun, Yuriy Zacchia
http://arxiv.org/abs/2207.13412. , 2022

Link: http://arxiv.org/abs/220..

14

A machine-learning approach to synthesize virtual sensors f..:

Masti, Daniele ; Bernardini, Daniele ; Bemporad, Alberto
http://arxiv.org/abs/2103.12324. , 2021

Link: http://arxiv.org/abs/210..

15

Machine learning methods for control, identification, and e..:

Masti, Daniele
http://e-theses.imtlucca.it/342/1/Masti_phdthesis.pdf. , 2021

Link: http://e-theses.imtlucca..