15 citations · 16 across the 7 of their papers we have counts for
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math.OC2020
A deep machine learning algorithm for construction of the Kolmogorov-Arnold representation
Andrew Polar, Michael Poluektov
The Kolmogorov-Arnold representation is a proven adequate replacement of a continuous multivariate function by an hierarchical structure of multiple functions of one variable. The…
math.OC2019
Canonical block-oriented model
Andrew Polar, Michael Poluektov
The block-oriented models are usually based on linear dynamic and non-linear static blocks that are connected in various sequential/parallel ways. Some particular configurations of…
math.OC2018★ 15 cited
Modelling non-linear control systems using the discrete Urysohn operator
Michael Poluektov, Andrew Polar
This paper introduces a multiple-input discrete Urysohn operator for modelling non-linear control systems and a technique of its identification by processing the observed input and…