Bijective Parametric Identification of Nonlinear Dynamic Models of Objects
The parametric identification algorithm consists in displaying a set of model parameters when evaluating these parameters through one or another identification procedure. Preliminary training of the first neural network based on experimental data and the use of its synaptic coefficients for training the second neural network is proposed. Training is performed by analyzing the data obtained during the training of the neural network, as well as the parameters of the model.