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Aspects of fuzzy control and estimation

Record type: Conference or Workshop Item (Other)

This paper gives an overview of Fuzzy Systems for application to fuzzy modelling, analysis, control and estimation. This first section describes the major concepts together with future research objectives without requiring any a priori knowledge on the part of the reader. Further sections introduce the mathematical notation required to describe fuzzy systems and review existing application and research areas. The subject of performance analysis tools for fuzzy systems is highlighted as a current research area and an example of a simple analysis tool is given. The topic of signal estimation using fuzzy models is also discussed and a target tracking example is included. Comparisons are also drawn between fuzzy systems and single layer associative memroy neural networks that offer some transparency for dynamical processes modelled as neural networks.

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Citation

Moore, C.G. and Harris, C.J., (1994) Aspects of fuzzy control and estimation Harris, C.J. (ed.) At Advances in Intelligent Control. , 201--242.

More information

Published date: 1994
Additional Information: Address: London, UK
Venue - Dates: Advances in Intelligent Control, 1994-01-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 250274
URI: http://eprints.soton.ac.uk/id/eprint/250274
PURE UUID: dd951196-15dc-42d5-98cd-a507a5ce888e

Catalogue record

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

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Contributors

Author: C.G. Moore
Author: C.J. Harris
Editor: C.J. Harris

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