Design of experiments for MR damper modelling

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

Research output: Contribution to conferencePaper

13 Citations (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.

Original languageEnglish
Number of pages8
Publication statusPublished - 18 Nov 2009
Externally publishedYes
EventProceedings of the International Joint Conference on Neural Networks -
Duration: 18 Nov 2009 → …


ConferenceProceedings of the International Joint Conference on Neural Networks
Period18/11/09 → …

Bibliographical note

Copyright 2012 Elsevier B.V., All rights reserved.

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence


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