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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/523

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contributor.authorSubudhi, B-
contributor.authorKarnachi, N-
contributor.authorDutton, K-
date.accessioned2007-10-06T05:35:28Z-
date.available2007-10-06T05:35:28Z-
date.issued2001-
identifier.citationProceedings of the 2001 WSES NNA International Conference, Spain, pp.4561-4566en
identifier.urihttp://hdl.handle.net/2080/523-
descriptionCopyright for this article belongs to the proceedings publisheren
description.abstractComplexities of modelling and control of flexible manipulator system is very complex owing to the link vibrations. This paper presents modelling and control of a flexible link manipulator using Artificial Neural Networks (ANN). A feedforward multi-layer network architecture has been trained to learn the dynamical behaviour of the flexible manipulator system. Then a model reference neuro-controller has been proposed for the tip position control of the flexible manipulatoren
format.extent666368 bytes-
format.mimetypeapplication/pdf-
language.isoen-
subjectArtificial Neural Networken
subjectFlexible Manipulatoren
subjectTip Positionen
subjectModel Reference Controlen
titleModelling and Position Control of Flexible Manipulator Using Artificial Neural Networksen
typeArticleen
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