Vasiliy Ye. Belozyorov, Danylo V. Dantsev, Svetlana A. Volkova


A problem of description of algebraic invariants for a linear control system that
determine its structure is considered. With the help of these invariants, the equivalence problem of two linear time-invariant control systems with respect to actions of some linear groups on the spaces of inputs, outputs, and states of these systems is solved. The invariants are used to establish the necessary equivalence conditions for two nonlinear systems of differential equations generalizing the well-known Hopfield neural network model. Finally, these conditions are applied to establish the adequacy of two neural network models designed to describe the behavior of a real dynamic process given by two different sets of time series.

Ключові слова

linear time-invariant control system; system of ordinary autonomous differential equations; complete linear group; special linear group; exterior degree; algebraic invariant; null-form; neural network; activation function

Повний текст:

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DOI: http://dx.doi.org/10.15421/142002


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