Neuro-Fuzzy Control for Semi-active dampers

  1. Evelio González 1
  2. Isidro Padrón 1
  3. Alfonso Poncela 2
  4. María Tomás-Rodríguez 3
  5. Ángela Hernández 1
  6. G. Nicolás Marichal 1
  1. 1 Universidad de La Laguna
    info

    Universidad de La Laguna

    San Cristobal de La Laguna, España

    ROR https://ror.org/01r9z8p25

  2. 2 Universidad de Valladolid
    info

    Universidad de Valladolid

    Valladolid, España

    ROR https://ror.org/01fvbaw18

  3. 3 City, University London
    info

    City, University London

    Londres, Reino Unido

    ROR https://ror.org/04489at23

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Livre:
Fuzzy Modeling and Control: Theory and Applications
  1. Fernando Matía (ed. lit.)
  2. G. Nicolás Marichal (ed. lit.)
  3. Emilio Jiménez (ed. lit.)

Éditorial: Atlantis Press

ISBN: 978-94-6239-081-2,  978-94-6239-082-9

Année de publication: 2014

Pages: 177-189

Type: Chapitre d'ouvrage

DOI: 10.2991/978-94-6239-082-9_9 WoS: WOS:000350696600011 GOOGLE SCHOLAR

Résumé

In many engineering applications, vibrations are a very typical type of disturbances. Due to this, different technologies have been developed in order to reduce (or ultimately eliminate) the potential negative impact they may incur on mechanical systems. In this sense, great efforts have been done in devising new vibration control methodologies in recent years.