Morles, E.C2018-01-112018-01-112015-08-159781467376822https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966601941&doi=10.1109%2fFSKD.2015.7382001&partnerID=40&md5=9cd52a3e631514e7e4d368a1b0a23be9http://dspace.ucuenca.edu.ec/handle/123456789/29060This 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.en-USGenetic AlgorithmInversion Of Fuzzy ModelsProgressive Cavity PumpsSingleton Fuzzy ModelsArticle10.1109/FSKD.2015.7382001