Optimization of fuzzy model using genetic algorithm for process control application

Optimization of fuzzy model using genetic algorithm for process control application

A technique for the modeling of nonlinear control processes using fuzzy modeling approach based on the Takagi–Sugeno fuzzy model with a combination of genetic algorithm and recursive least square is proposed. This paper discusses the identification of the parameters at the antecedent and consequent...

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Bibliographic Details
Main Authors: Yusof, Rubiyah, Abdul Rahman, Ribhan Zafira, Khalid, Marzuki, Ibrahim, Mohd Faisal
Format: Article
Language:English
Published: Elsevier 2011
Online Access:http://psasir.upm.edu.my/id/eprint/23112/
http://psasir.upm.edu.my/id/eprint/23112/1/Optimization%20of%20fuzzy%20model%20using%20genetic%20algorithm%20for%20process%20control%20application.pdf

Internet

http://psasir.upm.edu.my/id/eprint/23112/
http://psasir.upm.edu.my/id/eprint/23112/1/Optimization%20of%20fuzzy%20model%20using%20genetic%20algorithm%20for%20process%20control%20application.pdf

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