Modelling and Position Control of Flexible  Manipulator Using Artificial Neural Networks

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

Full metadata record

DC Field	Value	Language
dc.contributor.author	Subudhi, B	-
dc.contributor.author	Karnachi, N	-
dc.contributor.author	Dutton, K	-
dc.date.accessioned	2007-10-06T05:35:28Z	-
dc.date.available	2007-10-06T05:35:28Z	-
dc.date.issued	2001	-
dc.identifier.citation	Proceedings of the 2001 WSES NNA International Conference, Spain, pp.4561-4566	en
dc.identifier.uri	http://hdl.handle.net/2080/523	-
dc.description	Copyright for this article belongs to the proceedings publisher	en
dc.description.abstract	Complexities 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 manipulator	en
dc.format.extent	666368 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.subject	Artificial Neural Network	en
dc.subject	Flexible Manipulator	en
dc.subject	Tip Position	en
dc.subject	Model Reference Control	en
dc.title	Modelling and Position Control of Flexible Manipulator Using Artificial Neural Networks	en
dc.type	Article	en
Appears in Collections:	Conference Papers

Files in This Item:

File	Description	Size	Format
bs-nk-kd-wses-nn01.pdf		650.75 kB	Adobe PDF	View/Open