Recursive least square and fuzzy modelling using genetic algorithm for process control application

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Recursive least square and fuzzy modelling using genetic algorithm for process control application

A technique for the modelling of nonlinear process control using Recursive Least Square and Takagi-Sugeno Fuzzy System with Genetic Algorithm topology is described. This paper discusses the identification of parameters of the fuzzy sets at the antecedent part and linear model at the consequent part...

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Bibliographic Details
Main Authors:	Abdul Rahman, Ribhan Zafira, Yusof, Rubiyah, Khalid, Marzuki
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2007
Online Access:	http://psasir.upm.edu.my/id/eprint/48267/ http://psasir.upm.edu.my/id/eprint/48267/1/Recursive%20least%20square%20and%20fuzzy%20modelling%20using%20genetic%20algorithm%20for%20process%20control%20application.pdf

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