Journal Highly available systems №4 for 2019 г.
Article in number:
Optimal estimation and control in stochastic synergetic organization-technical-economic systems. Filtering in product and staff subsystems at background noise (I)
Type of article: scientific article
DOI: 10.18127/j20729472-201904-04
UDC: 621
Authors:

I.N. Sinitsyn – Dr. Sc. (Eng.) Professor, Principal Research Scientist, 

Institute of Informatics Problems FRC IC of RAS (Moscow)

Е-mail: sinitsin@dol.ru

A.S. Shalamov – Dr. Sc. (Eng.) Professor, Consultant, 

Institute of Informatics Problems FRC IC of RAS (Moscow) Е-mail: a-shal5@yandex.ru

Abstract:

This paper opens a series of articles under the general title «Optimal Estimation and Control in Synergetic Organization-TechnicalEconomic Systems». First paper is dedicated problems of approximate filtering in product and staff subsystems at the background noise.

Nowadays the problem of creation of basic principles and effective security information technologies (SIT) of synergetic organizationtechnical-economical systems (SOTES) from modern spontaneous markets at the background inertially going world economic crisis, weakening global market relations at conditions of competition and counteraction reinforcement is very important. Big enterprises need SIT due to essential local and systematic economic loss. It is necessary to form general approach for stochastic processes (SP) filtering in SOTES at the background different noises. 

The following notations are introduced: special observation SOTES (SOTES-O) with own organization-product resources and internal noise as information from special SOTES being enact noise (SOTES-N). Conception for the SOTES structure for systems of technical, staff and financial support is developed. Linear and nonlinear (in Ito sense) differential equations describing organization-production block (OPB) for three types of SOTES with their planning-economical estimating divisions are worked out. SOTES-O is described by two interconnected subsystems: state SOTES sensor and OPB supporting sensor with necessary resources. 

For Gaussian noises algorithms for the SOTES, SOTES-O, SOTES-N and OPB automatic construction are developed. Approximate filter algorithms for the linear and quasilinear interconnections of SOTES and OPB are given. The developed unique methodological approach for localization filtering is illustrated by synergetic OTES model containing life cycle of product OTES and staff OTES. 

Special attention is paid to mechanism internal noise acting on the enterprise account documentation at lower level SOTES in case when the effectivity characteristics are manipulated. Special Kalman filter for the location and protection is presented

Pages: 27-48
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Date of receipt: 29 ноября 2019 г.