Parametric Identification of Control Systems Using Artificial Neural Networks
National Research Tomsk Polytechnic University, 634050 Tomsk, Russia
a Corresponding author : email@example.com
For the problem of parametric identification of control objects proposed a method based on the use of artificial neural network feedforward type a perceptron. This method allows us to estimate the parameters of the mathematical model of the system with a maximum error of 2.8% and significantly reduce the time of the identification procedure.
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