The University of Southampton
University of Southampton Institutional Repository

Linearisation and state estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networks

Linearisation and state estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networks
Linearisation and state estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networks
802-817
Gan, Q.
8172a8dd-5a29-4ca6-8ed5-8d1f73078356
Harris, C. J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Gan, Q.
8172a8dd-5a29-4ca6-8ed5-8d1f73078356
Harris, C. J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a

Gan, Q. and Harris, C. J. (1999) Linearisation and state estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networks. IEEE Transactions on SMC, 29 (6), 802-817.

Record type: Article

Full text not available from this repository.

More information

Published date: December 1999
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 250481
URI: http://eprints.soton.ac.uk/id/eprint/250481
PURE UUID: f6651d32-17d5-4f5b-ab1b-3adcde62ecf9

Catalogue record

Date deposited: 06 Dec 1999
Last modified: 16 Jul 2019 23:12

Export record

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.

×