A Real Time Neurofuzzy Modelling and State Estimation Scheme
A Real Time Neurofuzzy Modelling and State Estimation Scheme
The authors of this paper analyse the input-output relation of the fuzzy system with a functional rule base and B-spline basis functions as membership functions, constructing a kind of neurofuzzy network for system modelling with a simple but effective training algorithm. This model is applied to state estimation, a simulated example is given.
468-4732
Wu, Z.Q.
fc163085-376c-4f78-9e5a-77c8bc5038ad
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Morabito, F.C.
7388f404-d051-4d42-b090-22c2184f7422
1997
Wu, Z.Q.
fc163085-376c-4f78-9e5a-77c8bc5038ad
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Morabito, F.C.
7388f404-d051-4d42-b090-22c2184f7422
Wu, Z.Q. and Harris, C.J.
(1997)
A Real Time Neurofuzzy Modelling and State Estimation Scheme.
Morabito, F.C.
(ed.)
Advances in Intelligent Systems.
.
Record type:
Conference or Workshop Item
(Other)
Abstract
The authors of this paper analyse the input-output relation of the fuzzy system with a functional rule base and B-spline basis functions as membership functions, constructing a kind of neurofuzzy network for system modelling with a simple but effective training algorithm. This model is applied to state estimation, a simulated example is given.
This record has no associated files available for download.
More information
Published date: 1997
Venue - Dates:
Advances in Intelligent Systems, 1997-01-01
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 250001
URI: http://eprints.soton.ac.uk/id/eprint/250001
PURE UUID: a4d989ee-85f3-4b39-82a8-d4b1ea7ca06c
Catalogue record
Date deposited: 03 May 2000
Last modified: 10 Dec 2021 20:06
Export record
Contributors
Author:
Z.Q. Wu
Author:
C.J. Harris
Editor:
F.C. Morabito
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