RUS  ENG
Full version
JOURNALS // Sistemy i Sredstva Informatiki [Systems and Means of Informatics] // Archive

Sistemy i Sredstva Inform., 2016 Volume 26, Issue 1, Pages 227–247 (Mi ssi458)

This article is cited in 1 paper

Mathematical software for analytical modeling of normal processes in stochastic systems with complex fraction-rational nonlinearities

I. N. Sinitsyn, V. I. Sinitsyn, I. V. Sergeev, E. R. Korepanov, V. V. Belousov, V. S. Shorgin

Institute of Informatics Problems, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation

Abstract: Mathematical software for analytical modeling of normal stochastic processes in differential and discrete stochastic systems (StS) with complex fraction-rational nonlinearities (CFRN) is considered. Typical presentation of CFRN is given. Accuracy and sensitivity equations based on the normal approximation (NAM) and the statistical linearization methods (SLM) are given. Basic analytical and numerical methods for computing NAM (SLM) integrals are discussed. Special attention is paid to the software tool «StS-CFRN. Analysis». The Appendix contains test examples and some applications. Some generalizations are mentioned.

Keywords: analytical modeling; complex fraction-rational nonlinearities (CFRN); module “StS-CFRN. Analysis;” method of statistical linearization (MSL); normal approximation method (NAM); stochastic systems (StS).

Received: 23.12.2015

DOI: 10.14357/08696527160114



Bibliographic databases:


© Steklov Math. Inst. of RAS, 2024