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Optimum Complexing of Measurements when Maintaining a Maneuvering Object in Statistically Uncertain Situations
- Authors: Detkov A.N.1
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Affiliations:
- 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://ogarev-online.ru/0002-3388/article/view/136847
- DOI: https://doi.org/10.31857/S0002338822060075
- EDN: https://elibrary.ru/BHHBHH
- ID: 136847
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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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