Design of experiments for MR damper modelling

Jorge Lozoya-Santos, Ruben Morales-Menendez, Ricardo Ramirez-Mendoza

Producción científica

13 Citas (Scopus)


An approach to find out the training inputs for identification of a Magneto-Rheological (MR) damper is proposed. Reduction of overuse of the damper, number of experiments and configurations of training inputs are main features of this approach. Experimental validation with a commercial MR damper was carried out.Main results show inputs configuration with modulated frequency at fixed amplitude displacement, and random amplitude step with fixed period generate key information. A feed-forward neural network was selected as model emulator. Modelling results showed an error-to-signal ratio lower than milli-thousands.

Idioma originalEnglish
Número de páginas8
EstadoPublished - 18 nov 2009
Publicado de forma externa
EventoProceedings of the International Joint Conference on Neural Networks -
Duración: 18 nov 2009 → …


ConferenceProceedings of the International Joint Conference on Neural Networks
Período18/11/09 → …

All Science Journal Classification (ASJC) codes

  • Software
  • Inteligencia artificial


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