Conference publications

Abstracts

XXIII conference

Improved accuracy and computational stability of the identification method of nonlinear systems based on Volterra models

Pavlenko S.V.

65122, Odessa, Ukraine, Str. Architectorskaya, 12, Apt. 47

A new method of constructing approximate model of Volterra nonlinear dynamical system (VAT) in the time domain using poliimpulsnyh and multistage test signals, which is different from the known use of a regularized least squares method and the choice of optimal value step amplitude test signals that can improve the accuracy in 2 4 times the computational stability and identification procedures as well as the application of wavelet filtering for smoothing estimates Volterra kernels, which increases the accuracy of 2-3.4 times and ensures the smoothness of the identification results.

It proposed and theoretically substantiated formalism, which is the universal expression for the experimental determination of multidimensional transfer functions (n-dimensional integrals of Volterra kernels) as a linear combination of the responses identified VAT multistage test actions to help simplify implementation of algorithms and software protsedry identification.

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