Antonio Acernese
Orcid: 0000-0002-4349-6320
According to our database1,
Antonio Acernese
authored at least 11 papers
between 2019 and 2022.
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Bibliography
2022
A fuzzy logic-based approach for fault diagnosis and condition monitoring of industry 4.0 manufacturing processes.
Eng. Appl. Artif. Intell., 2022
A Novel Reinforcement Learning-based Unsupervised Fault Detection for Industrial Manufacturing Systems.
Proceedings of the American Control Conference, 2022
2021
Model-Free Self-Triggered Control Co-Design for Probabilistic Boolean Control Networks.
IEEE Control. Syst. Lett., 2021
Reinforcement Learning Approach to Feedback Stabilization Problem of Probabilistic Boolean Control Networks.
IEEE Control. Syst. Lett., 2021
A Multi-Step Anomaly Detection Strategy Based on Robust Distances for the Steel Industry.
IEEE Access, 2021
Fault Detection and Diagnosis in Steel Industry: a One Class-Support Vector Machine Approach.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021
A comparison of envelope and statistical analyses for bearing diagnosis in hot steel rolling mill lines.
Proceedings of the IECON 2021, 2021
2020
Double Deep-Q Learning-Based Output Tracking of Probabilistic Boolean Control Networks.
IEEE Access, 2020
2019
Proceedings of the 4th International Conference on System Reliability and Safety, 2019
A Combined Support Vector Machine and Support Vector Representation Machine Method for Production Control.
Proceedings of the 17th European Control Conference, 2019