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
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    Universidad de La Laguna

    San Cristobal de La Laguna, España

    ROR https://ror.org/01r9z8p25

    Geographic location of the organization Universidad de La Laguna
  2. 2 Universidad de Valladolid
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    Universidad de Valladolid

    Valladolid, España

    ROR https://ror.org/01fvbaw18

    Geographic location of the organization Universidad de Valladolid
  3. 3 City, University London
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    City, University London

    Londres, Reino Unido

    ROR https://ror.org/04489at23

    Geographic location of the organization City, University London
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Book:
Fuzzy Modeling and Control: Theory and Applications
  1. Fernando Matía (ed. lit.)
  2. G. Nicolás Marichal (ed. lit.)
  3. Emilio Jiménez (ed. lit.)

Publisher: Atlantis Press

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

Year of publication: 2014

Pages: 177-189

Type: Book chapter

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

Sustainable development goals

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SDG classification obtained using Aurora SDG artificial intelligence model.

Abstract

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.