Invariants in problems of pattern recognition and control of states of complex objects

Objective. The aim of the study is to build emulators of the main sensors of a small spacecraft (SC).Method. The quality of recovery is determined by the standard deviation (RMS) of the data from the standards. The study is based on the application of the dynamic programming method.Result. A review...

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Main Authors: V. B. Melekhin, V. M. Khachumov, M. V. Khachumov
Format: Article
Language:Russian
Published: Dagestan State Technical University 2022-08-01
Series:Вестник Дагестанского государственного технического университета: Технические науки
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Online Access:https://vestnik.dgtu.ru/jour/article/view/1081
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author V. B. Melekhin
V. M. Khachumov
M. V. Khachumov
author_facet V. B. Melekhin
V. M. Khachumov
M. V. Khachumov
author_sort V. B. Melekhin
collection DOAJ
description Objective. The aim of the study is to build emulators of the main sensors of a small spacecraft (SC).Method. The quality of recovery is determined by the standard deviation (RMS) of the data from the standards. The study is based on the application of the dynamic programming method.Result. A review of works in the field of application of stable characteristics - invariants, in the applied areas of pattern recognition and state control of complex technical systems is carried out. A method aimed at identifying failures and building small spacecraft sensor emulators based on the analysis of stable indicators: correlation and covariance coefficients is proposed and tested. The proposed approach makes it possible to increase the overall reliability of the information-measuring system of a small spacecraft (SC). In the future, to emulate a failed sensor, it is planned to use multiple correlation of time sequences.Conclusion. In the general case, recognition is reduced to comparing the graph structures of objects to the correct matching of hierarchical image models based on various invariants. Control of the states of complex systems is based on the use of stable characteristics that act as invariant or subinvariant descriptors. Invariants in various applications help to recognize the current situation with a sufficient degree of accuracy, usually reducing the dimension of the problem.
format Article
id doaj-art-71d05f17d35d4d9fa77a25ef1a9a3af2
institution Kabale University
issn 2073-6185
2542-095X
language Russian
publishDate 2022-08-01
publisher Dagestan State Technical University
record_format Article
series Вестник Дагестанского государственного технического университета: Технические науки
spelling doaj-art-71d05f17d35d4d9fa77a25ef1a9a3af22025-08-20T03:35:14ZrusDagestan State Technical UniversityВестник Дагестанского государственного технического университета: Технические науки2073-61852542-095X2022-08-01492566610.21822/2073-6185-2022-49-2-56-66698Invariants in problems of pattern recognition and control of states of complex objectsV. B. Melekhin0V. M. Khachumov1M. V. Khachumov2Daghestan State Technical UniversityA.K. Ailamazyan Institute of Program Systems RAN; Federal Research Center «Informatics and Management» of the Russian Academy of Sciences; Peoples' Friendship University of Russia (RUDN University)A.K. Ailamazyan Institute of Program Systems RAN; Federal Research Center «Informatics and Management» of the Russian Academy of Sciences; Peoples' Friendship University of Russia (RUDN University)Objective. The aim of the study is to build emulators of the main sensors of a small spacecraft (SC).Method. The quality of recovery is determined by the standard deviation (RMS) of the data from the standards. The study is based on the application of the dynamic programming method.Result. A review of works in the field of application of stable characteristics - invariants, in the applied areas of pattern recognition and state control of complex technical systems is carried out. A method aimed at identifying failures and building small spacecraft sensor emulators based on the analysis of stable indicators: correlation and covariance coefficients is proposed and tested. The proposed approach makes it possible to increase the overall reliability of the information-measuring system of a small spacecraft (SC). In the future, to emulate a failed sensor, it is planned to use multiple correlation of time sequences.Conclusion. In the general case, recognition is reduced to comparing the graph structures of objects to the correct matching of hierarchical image models based on various invariants. Control of the states of complex systems is based on the use of stable characteristics that act as invariant or subinvariant descriptors. Invariants in various applications help to recognize the current situation with a sufficient degree of accuracy, usually reducing the dimension of the problem.https://vestnik.dgtu.ru/jour/article/view/1081hierarchyimagegraphisomorphisminvarianttuplecriterioncomplex objectdistance measurementpyramid of visibilitycontrolstate
spellingShingle V. B. Melekhin
V. M. Khachumov
M. V. Khachumov
Invariants in problems of pattern recognition and control of states of complex objects
Вестник Дагестанского государственного технического университета: Технические науки
hierarchy
image
graph
isomorphism
invariant
tuple
criterion
complex object
distance measurement
pyramid of visibility
control
state
title Invariants in problems of pattern recognition and control of states of complex objects
title_full Invariants in problems of pattern recognition and control of states of complex objects
title_fullStr Invariants in problems of pattern recognition and control of states of complex objects
title_full_unstemmed Invariants in problems of pattern recognition and control of states of complex objects
title_short Invariants in problems of pattern recognition and control of states of complex objects
title_sort invariants in problems of pattern recognition and control of states of complex objects
topic hierarchy
image
graph
isomorphism
invariant
tuple
criterion
complex object
distance measurement
pyramid of visibility
control
state
url https://vestnik.dgtu.ru/jour/article/view/1081
work_keys_str_mv AT vbmelekhin invariantsinproblemsofpatternrecognitionandcontrolofstatesofcomplexobjects
AT vmkhachumov invariantsinproblemsofpatternrecognitionandcontrolofstatesofcomplexobjects
AT mvkhachumov invariantsinproblemsofpatternrecognitionandcontrolofstatesofcomplexobjects