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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/100/2512

Title: Modeling and identification of flexible link using neural networks
Authors: RAO, SR
BANDYOPADHYAY, B
SETH, B
Issue Date: 2000
Publisher: IEEE
Citation: PROCEEDINGS OF IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY 2000, VOLS 1 AND 2,237-242
Abstract: The challenge in the endpoint control of flexible manipulators is of obtaining an exact model of the nonlinear flexible system and then simulating it for further analysis. But being an infinite dimensional they pose problems in terms of predicting the behaviour and also exact mathematical representation. This problem of obtaining exact model can be solved if the behaviour of the flexible link system can be represented by a neural network, which would help further simulation, analysis and control thus eliminating the requirement of the exact mathematical repersentation of the system.
URI: http://dspace.library.iitb.ac.in/xmlui/handle/10054/16216
http://hdl.handle.net/100/2512
ISBN: 0-7803-5812-0
Appears in Collections:Proceedings papers

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