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Level control system using IFLC
Author(s)
Date Issued
January 1, 2003
Type
Conference Paper
Abstract
An indirect fuzzy logic controller (IFLC) designed by pole placement method for an augmented fuzzy system consisting of a global fuzzy model and an integrator is proposed. The global fuzzy model is constructed from the local fuzzy models and their membership functions. The controller is implemented to control a level process in laboratory to demonstrate its effectiveness.
Citation
Proceedings of the SICE Annual Conference, 1, 919-923, 2003