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Izvestiya SFedU
Engineering sciences
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ISSN 1999-9429 print
ISSN 2311-3103 online
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  • PROJECTION OF THE NONLINEAR DIFFERENTIAL EQUATION RICCATI INTO VOLTERRA POLYNOMIALS USING THE FINITE ELEMENT METHOD

    Е.Y. Kislovskiy, А.V. Shandybin, V.N. Taran
    2024-01-05
    Abstract ▼

    This paper concerns the problems of modeling nonlinear causal systems. The aim of the paper
    is to transform the nonlinear Riccati differential equation into operator form. The brief review
    of approaches to modeling nonlinear dynamic systems is provided. Problems of projection the
    original equation into differential equations with Volterra kernels and solving the resulting equations
    are solved for Volterra series model. A short description of the method of projection into
    hyperspace using the Frechet functional derivative is given. The result of projection is differential
    equations with solutions in the form of Volterra kernels is shown. The linear kernel is a solution to
    an ordinary differential equation, and kernels higher than first order are found by solving partial
    differential equations with respect to time domain variables. The model with only the first two
    kernels of the series is considered. Attention is paid to the equation with a bilinear kernel. Search
    of such kernel by analytical methods is more complicated compared to the equation with a linear
    kernel, which is why this work attempts to calculate it using a numerical method. The detailed
    description of the developed algorithm for calculating the bilinear kernel using the finite element
    method is given. Using this method, the general operator model will the semi-analytic structure in
    the form of a sum of convolutions with the analytical linear kernel and the finite element bilinear
    kernel. An operator model for the weakly nonlinear system has been developed. The simulation
    modeling was done for verify the operator model. The computational experiment consisted of obtaining
    the transient response by test signal in the form of the Heaviside function. The responses of
    the linearized and proposed operator model were calculated using discrete convolution. The obtained
    characteristics were compared with the fourth-order Runge-Kutta solution as a reference
    solution of the basic equation. The developed operator model gives a response closer to the reference
    response, which is confirmed by the results of residual calculations.

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