A stability analysis of Direct Neuro-Fuzzy Controllers
A stability analysis of Direct Neuro-Fuzzy Controllers
Within the framework of input/output stability we develop an algorithm for testing the stability of a given direct neuro-fuzzy controller in a feedback situation, dependant only on the functional gain of the plant to be controlled. A series of geometrical descriptions are then developed for the set of weights for which the feedback loop remains stable. These are then exploited to give adaptive mechanisms, where training can be achieved on line, whilst maintaining stability of the feedback loop.
182--187
French, M.
22958f0e-d779-4999-adf6-2711e2d910f8
Rogers, E.
611b1de0-c505-472e-a03f-c5294c63bb72
September 1996
French, M.
22958f0e-d779-4999-adf6-2711e2d910f8
Rogers, E.
611b1de0-c505-472e-a03f-c5294c63bb72
French, M. and Rogers, E.
(1996)
A stability analysis of Direct Neuro-Fuzzy Controllers.
Proceedings of IEE Control '96.
.
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Conference or Workshop Item
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Abstract
Within the framework of input/output stability we develop an algorithm for testing the stability of a given direct neuro-fuzzy controller in a feedback situation, dependant only on the functional gain of the plant to be controlled. A series of geometrical descriptions are then developed for the set of weights for which the feedback loop remains stable. These are then exploited to give adaptive mechanisms, where training can be achieved on line, whilst maintaining stability of the feedback loop.
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Published date: September 1996
Additional Information:
Organisation: IEE Address: Exeter
Venue - Dates:
Proceedings of IEE Control '96, 1996-08-31
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 250053
URI: http://eprints.soton.ac.uk/id/eprint/250053
PURE UUID: 8fba7e1b-04dd-4fe6-a407-2ea48b8ea231
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Date deposited: 27 Aug 1999
Last modified: 09 Jan 2022 02:40
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Contributors
Author:
M. French
Author:
E. Rogers
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