Method for analyzing the stability of information transfer between unmanned aerial vehicles in the formation

The use of a formation consisting of adaptive autonomous mobile agents allows solving a wide range of tasks that are often beyond the capabilities of individual agents. A multi-agent formation is a complex high-order dynamic system, so analyzing the stability of such a system is a complex task. At p...

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Main Authors: G. S. Vasilyev, O. R. Kuzichkin, I. A. Kurilov, D. I. Surzhik
Format: Article
Language:English
Published: Universidad del Zulia 2020-07-01
Series:Revista de la Universidad del Zulia
Subjects:
Online Access:https://produccioncientificaluz.org/index.php/rluz/article/view/32788
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author G. S. Vasilyev
O. R. Kuzichkin
I. A. Kurilov
D. I. Surzhik
author_facet G. S. Vasilyev
O. R. Kuzichkin
I. A. Kurilov
D. I. Surzhik
author_sort G. S. Vasilyev
collection DOAJ
description The use of a formation consisting of adaptive autonomous mobile agents allows solving a wide range of tasks that are often beyond the capabilities of individual agents. A multi-agent formation is a complex high-order dynamic system, so analyzing the stability of such a system is a complex task. At present, the problem of estimating the stability of a formation formed by substantially nonlinear high-order agents with variable dynamic parameters is not sufficiently considered. This task is particularly important for a formation that is affected by complex unstable environmental conditions, in particular for the formation of unmanned aerial vehicles (UAVs). A method for analyzing the stability of formations of nonlinear agents with different types and orders of transfer function has been developed for studying information exchange in UAV networks. The new approach is based on the use of the Popov frequency criterion and the piecewise linear approximation of the hodograph. A computational experiment was performed to analyze the stability of a formation with transfer functions of various types and orders from the 1st to the 10th. The conducted studies revealed a significant difference in the calculated boundary coefficients of formation stability in the linear and nonlinear modes, which confirms the need to analyze the nonlinear stability under the influence of strong destabilizing influences on the formation.
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spelling doaj.art-1c1e364a45704d0fa6c2fc1118dc845f2023-02-17T21:29:51ZengUniversidad del ZuliaRevista de la Universidad del Zulia2665-04282020-07-011130125136https://doi.org/10.46925//rdluz.30.09Method for analyzing the stability of information transfer between unmanned aerial vehicles in the formationG. S. Vasilyev0https://orcid.org/0000-0003-1681-5223O. R. Kuzichkin1https://orcid.org/0000-0003-0817-223XI. A. Kurilov2https://orcid.org/0000-0003-1901-7411D. I. Surzhik3https://orcid.org/0000-0002-0101-3503Universidad del ZuliaBelgorod State University, Belgorod, 308015, RussiaVladimir State University, Vladimir, 600000, RussiaVladimir State University, Vladimir, 600000, RussiaThe use of a formation consisting of adaptive autonomous mobile agents allows solving a wide range of tasks that are often beyond the capabilities of individual agents. A multi-agent formation is a complex high-order dynamic system, so analyzing the stability of such a system is a complex task. At present, the problem of estimating the stability of a formation formed by substantially nonlinear high-order agents with variable dynamic parameters is not sufficiently considered. This task is particularly important for a formation that is affected by complex unstable environmental conditions, in particular for the formation of unmanned aerial vehicles (UAVs). A method for analyzing the stability of formations of nonlinear agents with different types and orders of transfer function has been developed for studying information exchange in UAV networks. The new approach is based on the use of the Popov frequency criterion and the piecewise linear approximation of the hodograph. A computational experiment was performed to analyze the stability of a formation with transfer functions of various types and orders from the 1st to the 10th. The conducted studies revealed a significant difference in the calculated boundary coefficients of formation stability in the linear and nonlinear modes, which confirms the need to analyze the nonlinear stability under the influence of strong destabilizing influences on the formation.https://produccioncientificaluz.org/index.php/rluz/article/view/32788multi-agent formationmobile agent formationunmanned aerial vehicleuavdata transmissionstabilitynyquist criterionpopov criterion
spellingShingle G. S. Vasilyev
O. R. Kuzichkin
I. A. Kurilov
D. I. Surzhik
Method for analyzing the stability of information transfer between unmanned aerial vehicles in the formation
Revista de la Universidad del Zulia
multi-agent formation
mobile agent formation
unmanned aerial vehicle
uav
data transmission
stability
nyquist criterion
popov criterion
title Method for analyzing the stability of information transfer between unmanned aerial vehicles in the formation
title_full Method for analyzing the stability of information transfer between unmanned aerial vehicles in the formation
title_fullStr Method for analyzing the stability of information transfer between unmanned aerial vehicles in the formation
title_full_unstemmed Method for analyzing the stability of information transfer between unmanned aerial vehicles in the formation
title_short Method for analyzing the stability of information transfer between unmanned aerial vehicles in the formation
title_sort method for analyzing the stability of information transfer between unmanned aerial vehicles in the formation
topic multi-agent formation
mobile agent formation
unmanned aerial vehicle
uav
data transmission
stability
nyquist criterion
popov criterion
url https://produccioncientificaluz.org/index.php/rluz/article/view/32788
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AT iakurilov methodforanalyzingthestabilityofinformationtransferbetweenunmannedaerialvehiclesintheformation
AT disurzhik methodforanalyzingthestabilityofinformationtransferbetweenunmannedaerialvehiclesintheformation