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Information × Registration Number 2119U006517, Article popup.category Препринт Title Identification of Dynamical System's Parameters using Neural Networks (AI translated) popup.author Kushnir DmytroKushnir Dmytro popup.publication 01-01-2019 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/4484 popup.publisher Description Parameter identification of Dynamical systems examined in the context of its value for the DNN training process facilitation and mitigation of the data imbalance. In the result of the theoretical analysis of the stated problem’s methodological roots, were proposed the approach of augmenting usual NN model with part responsible for explicit representation of required parameters. Moreover, this approach involves the change of a learning procedure towards indirect supervision setting, where the NN responsible for system modeling, in form of time series prediction, does not ob- serves the dataset at all but is being taught via the intermediate step of identification of target system parameter knowing its physical interpretation. Work considered the dynamical process on the example of DC motor described by the system of the ordinary nonlinear differential equations. popup.nrat_date 2025-11-05 Close