Dynamic analysis of a control and metering system based on the network with a symmetric activation function of neurons

The paper considers some elements of a simulation method designed for analyzing the dynamics of a non-linear multiparameter object (system) based on a network with a symmetric neuron-transformation function. The taught network can approximate the dynamics of the object and its control subsystem in the space of status variables.