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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/23112/1/Optimization%20of%20fuzzy%20model%20using%20genetic%20algorithm%20for%20process%20control%20application.pdf http://psasir.upm.edu.my/id/eprint/23112/ |
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