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Indirect adaptive fuzzy control

Record type: Article

Fuzzy controllers may be either static systems, which have fixed rule base, or adaptive systems, which have the ability to alter their rules. A discussion of adaptive fuzzy controllers and a comparison with corresponding algebraic techniques concludes that all previous adaptive fuzzy controllers have been of the direct adaptive type. Such controllers use observations of closed loop control performance to manipulate the controller rule base directly without any intermediate process model being produced. In this paper, an indirect adaptive fuzzy controller is proposed where an intermediate process model, identified for observed data, is used to peform on-line controller design. The resulting separation of the adaptation system from controller design enables learning convergence to be investigated. Examples are given of both fuzzy model identification and controller design for linear and nonlinear processes.

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Citation

Moore, C.G. and Harris, C.J. (1992) Indirect adaptive fuzzy control Int. J. of Control, 56, (2), 441--468.

More information

Published date: 1992
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 250272
URI: http://eprints.soton.ac.uk/id/eprint/250272
PURE UUID: 0fa30c89-92ff-4dce-ae25-9e3fffb4cc88

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

University divisions


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