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- W2248972375 abstract "This paper presents an identification approach based on invertible singleton fuzzy models in order to implement a control system for a progressive cavity pump-based petroleum production system, by using the inverse model control scheme. The identification proposal uses input-output process variables measurements and an off-line genetic algorithm, which is designed for guarantying the analytical calculation of the inverse model. Regarding the application of the genetic algorithm, three selection methods are evaluated: tournament selection, roulette wheel selection and linear rank selection. Once the fuzzy singleton model is identified, the controller design is a straightforward procedure. Computer simulations show the potential application of this kind of model in real industrial control processes." @default.
- W2248972375 created "2016-06-24" @default.
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- W2248972375 date "2015-08-01" @default.
- W2248972375 modified "2023-09-25" @default.
- W2248972375 title "Invertible singleton fuzzy models: application to petroleum production control systems" @default.
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- W2248972375 doi "https://doi.org/10.1109/fskd.2015.7382001" @default.
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