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  5. Method of fuzzy identification of nonlinear objects of digital control

Method of fuzzy identification of nonlinear objects of digital control

S.G. Udovenko, G. Dibe, V.I. Perepelitsa
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The method of fuzzy identification of the nonlinear systems, based on application of Kalman filters and fuzzy clusterisation, is examined. Possibility of adequate description of of nonlinear objects by the fuzzy models got on this method is shown. Results of modeling loud allowing to draw conclusion about efficiency of application of offered approach in the digital control systems by nonlinear objects.
Keywords: unclear authentication, model of Takagi-sugeno, function of belonging, filtration of Kalman