Software for syntesis of discrete Pugachev filters for normal processes in hereditary stochastic systems
I. N. Sinitsyn, I. V. Sergeev, V. I. Sinitsyn, E.. R. Korepanov, V. V. Belousov, V. S. Shorgin
Institute of Informatics Problems, Federal Research Center "Computer Science and Control", Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
Algorithms for synthesis of discrete conditionally optimal (Pugachev) filters (PF) for normal processing in continuous and discrete linear and nonlinear hereditary stochastic systems (HStS) with Wiener and Poisson noises are considered. Introduction is devoted to the survey of analysis and modeling problems in HStS. It is stated that for real time processing, problems in informatics and control PF are effective in computer realization. The theorems for HStS reduction to differential StS and discrete StS are presented. Also, the theorems for discrete PF synthesis for normal processing in linear and nonlinear HStS are given. The HStS test shock examples for software tools “IDStS-Filtering” are represented.
differential stochastic system (DStS); linear Kalman filter (KF): linear Pugachev filter (PF); software tools “IDStS-Filtering”; method of normal approximation (MNA); statistical linearization method (SLM); normal stochastic process; shock (impulse) noise; hereditary (integrodifferential) stochastic system (HStS); MATLAB.
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I. N. Sinitsyn, I. V. Sergeev, V. I. Sinitsyn, E.. R. Korepanov, V. V. Belousov, V. S. Shorgin, “Software for syntesis of discrete Pugachev filters for normal processes in hereditary stochastic systems”, Sistemy i Sredstva Inform., 25:2 (2015), 20–59
Citation in format AMSBIB
\by I.~N.~Sinitsyn, I.~V.~Sergeev, V.~I.~Sinitsyn, E..~R.~Korepanov, V.~V.~Belousov, V.~S.~Shorgin
\paper Software for syntesis of discrete Pugachev filters for normal processes in~hereditary stochastic systems
\jour Sistemy i Sredstva Inform.
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