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A Real Time Neurofuzzy Modelling and State Estimation Scheme

Record type: Conference or Workshop Item (Other)

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.

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Citation

Wu, Z.Q. and Harris, C.J., (1997) A Real Time Neurofuzzy Modelling and State Estimation Scheme Morabito, F.C. (ed.) At Advances in Intelligent Systems. , pp. 468-4732.

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: 18 Jul 2017 10:44

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Contributors

Author: Z.Q. Wu
Author: C.J. Harris
Editor: F.C. Morabito

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