The University of Southampton
University of Southampton Institutional Repository

Intelligent identification and control for AGV's using adaptive fuzzy based algorithms

Intelligent identification and control for AGV's using adaptive fuzzy based algorithms
Intelligent identification and control for AGV's using adaptive fuzzy based algorithms
267-285
Moore, C.G.
79001bdf-4225-447b-bbe8-cf81c1711906
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Moore, C.G.
79001bdf-4225-447b-bbe8-cf81c1711906
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a

Moore, C.G. and Harris, C.J. (1992) Intelligent identification and control for AGV's using adaptive fuzzy based algorithms. International Journal of Engineering Applications of AI, 2, 267-285.

Record type: Article

This record has no associated files available for download.

More information

Published date: 1992
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 250273
URI: http://eprints.soton.ac.uk/id/eprint/250273
PURE UUID: 4676520a-92f6-4c83-bb72-2d8c865d6d5c

Catalogue record

Date deposited: 04 May 1999
Last modified: 10 Dec 2021 20:07

Export record

Contributors

Author: C.G. Moore
Author: C.J. Harris

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×