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Title: Vibration control using self-organizing look-up tables
Authors: Moshou, Dimitrios ×
Ramon, Herman #
Issue Date: Sep-2003
Publisher: Academic press ltd elsevier science ltd
Series Title: Journal of sound and vibration vol:266 issue:3 pages:601-612
Abstract: The self-organizing map neural network is used in a supervised way to represent a sensor actuator mapping. The learning of the controller assumes no prior information, but only reward/failure signals that are produced by an evaluation criterion. The evaluation criterion used is based on the low-pass filtering of the gradient of a reward function and the local storing of the filtered gradient value. The control method is tested in vibration isolation of a flexible spray boom used in agriculture for pesticide application. The neural network learns to stabilize the boom on-line without any prior information and with a very high performance. (C) 2003 Elsevier Ltd. All rights reserved.
URI: 
ISSN: 0022-460X
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Division of Mechatronics, Biostatistics and Sensors (MeBioS)
× corresponding author
# (joint) last author

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