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.

Download

Full text not available from this repository.

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 Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
ePrint ID: 250001
Date Deposited: 03 May 2000
Last Modified: 27 Mar 2014 19:50
Further Information:Google Scholar
ISI Citation Count:0
URI: http://eprints.soton.ac.uk/id/eprint/250001

Actions (login required)

View Item View Item