Capsule-based federated reinforcement learning adaptive sliding mode for anomaly detection and control of floating wind turbines

• Hadi Mohammadian KhalafAnsar ,

  Contributed equally to this work with: Hadi Mohammadian KhalafAnsar, Jafar Keighobadi, Mohsen Shahhosseini

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Current Address: University of Tabriz, Tabriz, 29 Bahman Blvd, Iran

  Affiliation Faculty of Mechanical Engineering, University of Tabriz, Tabriz, East Azerbaijan, Islamic Republic of Iran

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• Jafar Keighobadi ,

  Contributed equally to this work with: Hadi Mohammadian KhalafAnsar, Jafar Keighobadi, Mohsen Shahhosseini

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: keighobadi@tabrizu.ac.ir

  Current Address: University of Tabriz, Tabriz, 29 Bahman Blvd, Iran

  Affiliation Faculty of Mechanical Engineering, University of Tabriz, Tabriz, East Azerbaijan, Islamic Republic of Iran

  https://orcid.org/0000-0002-1216-4518

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• Mohsen Shahhosseini

  Contributed equally to this work with: Hadi Mohammadian KhalafAnsar, Jafar Keighobadi, Mohsen Shahhosseini

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Current Address: University of Tabriz, Tabriz, 29 Bahman Blvd, Iran

  Affiliation Faculty of Mechanical Engineering, University of Tabriz, Tabriz, East Azerbaijan, Islamic Republic of Iran

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