Hybrid RBF neural network–based sliding mode control for a magnetorheological elastomer isolator under variable frequency and amplitude excitations

• Kiran Katari ,

  Contributed equally to this work with: Kiran Katari, Umanath R. Poojary, Ananda Hegde, Gangadharan K. V.

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

  Affiliation Department of Mechanical Engineering, National Institute of Technology, Mangalore, Karnataka, India

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• Umanath R. Poojary ,

  Contributed equally to this work with: Kiran Katari, Umanath R. Poojary, Ananda Hegde, Gangadharan K. V.

  Roles Investigation, Methodology, Supervision, Writing – review & editing

  * E-mail: umanr@hotmail.com

  Affiliation Department of Mechanical and Manufacturing Engineering, Manipal Institute of Technology, Udupi, Karnataka, India

  https://orcid.org/0000-0002-2075-7145

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• Ananda Hegde ,

  Contributed equally to this work with: Kiran Katari, Umanath R. Poojary, Ananda Hegde, Gangadharan K. V.

  Roles Data curation, Formal analysis, Methodology, Writing – review & editing

  Affiliation Department of Mechanical and Manufacturing Engineering, Manipal Institute of Technology, Udupi, Karnataka, India

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• Gangadharan K. V.

  Contributed equally to this work with: Kiran Katari, Umanath R. Poojary, Ananda Hegde, Gangadharan K. V.

  Roles Funding acquisition, Project administration, Resources, Supervision

  Affiliation Department of Mechanical Engineering, National Institute of Technology, Mangalore, Karnataka, India

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