Interpretable PID parameter tuning for control engineering using general dynamic neural networks: An extensive comparison

• Johannes Günther ,

  Roles Conceptualization, Investigation, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: gunther@ualberta.ca

  Affiliations Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada, Alberta Machine Intelligence Institute, Edmonton, Alberta, Canada

  https://orcid.org/0000-0003-4926-312X

  ⨯
• Elias Reichensdörfer,

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – review & editing

  Affiliation Department of Electrical and Computer Engineering, Technische Universität München, Munich, Bavaria, Germany

  ⨯
• Patrick M. Pilarski,

  Roles Conceptualization, Formal analysis, Writing – review & editing

  Affiliations Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada, Alberta Machine Intelligence Institute, Edmonton, Alberta, Canada

  ⨯
• Klaus Diepold

  Roles Conceptualization, Resources, Supervision

  Affiliation Department of Electrical and Computer Engineering, Technische Universität München, Munich, Bavaria, Germany

  ⨯