The University of Southampton
University of Southampton Institutional Repository

A Nonlinear Adaptive Controller: A Comparison between Fuzzy Logic Control and Neurocontrol

Brown, M. and Harris, C.J. (1991) A Nonlinear Adaptive Controller: A Comparison between Fuzzy Logic Control and Neurocontrol IMA Jnl. of Mathematical Control and Information, 8, (3), 239--265.

Record type: Article


This paper explores, from a surface-fitting viewpoint, two algorithms which are often applied in the field of intelligent control: fuzzy self-organising controllers and neural networks. Both methodologies adapt internal model parameters in response to the plant's input-output mapping. However, while the convergence of single layer neural networks has been studied in great detail, very few theorems have been proved about self-organizing fuzzy logic controllers. In this paper, it is shown that B-splines can provide a framework for choosing the shape of the fuzzy sets. Then the operators chosen to implement the underlying fuzzy logic are examined, showing that they can produce 'smooth' control surfaces. It is now possible to make a direct comparison between fuzzy logic controllers and feedforward neural networks, demonstrating that, in a forward-chaining mode, storing the plant's behaviour in terms of weights or rule confidences is equivalent. Finally, three training rules for the self-organizing fuzzy controller are derived.

Full text not available from this repository.

More information

Published date: 1991
Organisations: Southampton Wireless Group


Local EPrints ID: 250246
PURE UUID: fe4a21e1-f6e3-45ca-b9f4-3b2795fb9876

Catalogue record

Date deposited: 04 May 1999
Last modified: 18 Jul 2017 10:43

Export record


Author: M. Brown
Author: C.J. Harris

University divisions

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 supports OAI 2.0 with a base URL of

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.