The University of Southampton
University of Southampton Institutional Repository

Neurofuzzy modelling and control

Doyle, R.S. (1995) Neurofuzzy modelling and control Electrotechnology, 6, (2), 10--12.

Record type: Article


An increase in the sophistication of control systems, both in terms of performance and flexibility is required if the current desire for autonomy and inherent inbuilt intelligence in manufacturing and manufactured goods is to be realised. These new control systems will have to deal with ill-defined complex dynamics and non-linear relationships over wide operating envelopes. Recent developments in neural networks and fuzzy logic present opportunities for a radical innovation in control system design and management. The developments have already provided improved product quality features, and even more importantly they have presented the opportunity to provide near optimal control of complex hierarchical multi-faceted processes in a coherent manner. They provide this opportunity through an intelligent integration of both quantitative and qualitative aspects of the problem to be addressed.

Full text not available from this repository.

More information

Published date: April 1995
Organisations: Electronics & Computer Science


Local EPrints ID: 250166
PURE UUID: 9730f7c9-8795-48dd-8d93-45753de0f835

Catalogue record

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

Export record


Author: R.S. Doyle

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.