A.L. Dexter

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This paper describes an evolving fuzzy model (efM) approach to modelling non-linear dynamic systems in which an incremental learning method is used to build up the rule-base. The rule-base evolves when "new" information becomes available by creating a new rule, merging an existing rule or deleting an old rule, depended upon the proximity and potential of(More)
Designing controllers to reject disturbances, which cannot be accurately measured or estimated, is a challenging problem in real applications where the behaviour of the system is both non-linear and uncertain. Control schemes based on internal model control (IMC) can only be used to reject disturbances in non-linear systems if they do not affect the(More)
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