Antonio Acernese
Orcid: 0000-0002-4349-6320
According to our database1,
Antonio Acernese
authored at least 13 papers
between 2019 and 2024.
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Bibliography
2024
Trajectory Planning Based on Model Predictive Control with Dynamic Obstacle Avoidance in Unstructured Environments.
Proceedings of the European Control Conference, 2024
Proceedings of the European Control Conference, 2024
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