Optimum Complexing of Measurements when Maintaining a Maneuvering Object in Statistically Uncertain Situations

A. N. Detkov; Детков А. Н.

doi:10.31857/S0002338822060075

Optimum Complexing of Measurements when Maintaining a Maneuvering Object in Statistically Uncertain Situations

Authors: Detkov A.N.¹
Affiliations:
1. Federal State Unitary Enterprise “State Research Institute of Aviation Systems”, 125167, Moscow, Russia
Issue: No 1 (2023)
Pages: 28-43
Section: MANAGEMENT IN STOCHASTIC SYSTEMS AND UNDER CONDITIONS OF UNCERTAINTY
URL: https://rjmseer.com/0002-3388/article/view/676508
DOI: https://doi.org/10.31857/S0002338822060075
EDN: https://elibrary.ru/BHHBHH
ID: 676508

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Abstract

The problem of synthesizing optimal and quasi-optimal algorithms for complex information processing is solved using the methods of Markov theory for estimating random processes when maintaining a maneuvering object and two-channel vector observation with violations in statistically uncertain situations. The problem is solved in relation to a discrete-continuous Markov process for the case when its continuous part is a vector Markov sequence, and the discrete part is characterized by a three-component discrete Markov process, each component of which is described by a Markov chain to several positions. A block diagram of quasi-optimal complex information processing is given. Using a simple example, simulation modeling shows the performance of a quasi-optimal algorithm in statistically uncertain situations.

About the authors

A. N. Detkov

Federal State Unitary Enterprise “State Research Institute of Aviation Systems”, 125167, Moscow, Russia

Author for correspondence.
Email: detkov@gosniias.ru
Россия, Москва

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