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Linearization of magnetorheological behaviour using a neural network

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2 Author(s)
Byeonghwa Kim ; Texas A&M Univ., College Station, TX, USA ; Roschke, P.N.

A magnetorheological (MR) damper is a recently invented electromechanical semi-active control device that holds promise for applications to ameliorate structural vibration. However, nonlinear characteristics of MR dampers are delaying field installation. This paper provides a linearization scheme for MR damper behaviour using a neural network that is applicable for an online control environment

Published in:
American Control Conference, 1999. Proceedings of the 1999  (Volume:6 )

Date of Conference: 1999

Page(s):
4501 - 4505 vol.6
Meeting Date :
02 Jun 1999-04 Jun 1999
ISSN :
0743-1619
Print ISBN:
0-7803-4990-3
INSPEC Accession Number:
6403172
Conference Location :
San Diego, CA
Digital Object Identifier :
10.1109/ACC.1999.786437
Product Type:
Conference Publications

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