A Real Time Neurofuzzy Modelling and State Estimation Scheme
Wu, Z.Q. and Harris, C.J. (1997) A Real Time Neurofuzzy Modelling and State Estimation Scheme. Advances in Intelligent Systems ISO Press, 468-4732.
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Description/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.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control |
| Item ID: | 250001 |
| Date Deposited: | 03 May 2000 |
| Last Modified: | 02 Mar 2012 14:27 |
| Contributors: | Wu, Z.Q. (Author) Harris, C.J. (Author) Morabito, F.C. (Editor) |
| Date: | 1997 |
| Status: | Published |
| Publisher: | ISO Press |
| Further Information: | Google Scholar |
| ISI Citation Count: | 0 |
| URI: | http://eprints.soton.ac.uk/id/eprint/250001 |
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