An analysis of linear stochastic systems with constant delays and discrete and continuous fluctuations

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In the paper, we consider a problem of calculation of the first moment functions for the state vector of linear stochastic difference-differential system excited by random Wiener and Poisson processes. The technique combining the classic method of steps and the scheme of phase space extension is used to derive a chain of integro-differential Kolmogorov - Feller equations satisfied by joint probability density functions and then to obtain ordinary differential equations for required moment functions without delays.

Stochastic analysis, linear dynamic system, delay, state vector, wiener process, poisson process, moment functions

Короткий адрес: https://sciup.org/14729870

IDR: 14729870

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