Výsledky vyhledávání - "V. A. Tupysev"

Akademický článek

Efficiency analysis of polynomial filtering algorithms in navigation data processing for a class of nonlinear discrete dynamical systems

Autor: O. A. Stepanov, V. A. Vasiliev, M. V. Basin, V. A. Tupysev, Y. A. Litvinenko

Publikováno v: IET Control Theory & Applications, Vol 15, Iss 2, Pp 248-259 (2021)

Abstract A polynomial filtering algorithm is designed for estimating a Markov sequence based on linear measurements. The feature of the estimation problem is that the Markov sequence is described by a nonlinear shaping filter, which is a second‐ord

Externí odkaz: https://doaj.org/article/b3dfea75a1b74ae5864014a01212d4f5

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Efficiency analysis of polynomial filtering algorithms in navigation data processing for a class of nonlinear discrete dynamical systems

Autor: V. A. Vasiliev, Oleg A. Stepanov, Yuliya A. Litvinenko, V. A. Tupysev, Michael Basin

Publikováno v: IET Control Theory & Applications. 15:248-259

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::066941477fe062e26288ab1bb27105a5
https://doi.org/10.1049/cth2.12036

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Application of singular transformations method with regard to nonlinearities in the equations of dynamics and measurements

Autor: A. V. Loparev, Yu. A. Litvinenko, V. A. Tupysev

The possibility of state estimation for a dynamic system with nonlinearities in the equations of dynamics and measurements using the Singular Transformations Method is discussed. The features of the proposed approach application are considered. For a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcd1ff7b20bfede7cbd35ebda13eecd6
http://cds.cern.ch/record/2773408

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Application of Kalman Type Filtering for Processing Navigation Data With Nonlinear Dynamics and Measurements

Autor: Yu. A. Litvinenko, A.M. Isaev, V. A. Tupysev

Publikováno v: 2020 27th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS).

The paper discusses the possibility of increasing the efficiency of the Kalman type filters for nonlinearities in the dynamics and measurement equations by using a special finite-difference equation to choose the linearization point. The simulation r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b0ec76636f09ff9e936202337853b0b1
https://doi.org/10.23919/icins43215.2020.9133846

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SENSITIVITY DETERMINATION OF KALMAN FILTER TO THE DETUNING OF PARAMETERS DESCRIBING SLOWLY VARYING ERRORS OF ACCELEROMETERS AND GYROSCOPES

Autor: V. A. Poloskov, V. A. Tupysev

Publikováno v: AEROSPACE INSTRUMENTATION AND OPERATIONAL TECHNOLOGIES.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8657f61751fde1fe68249db05cd707ad
https://doi.org/10.31799/978-5-8088-1450-9-2020-1-87-93

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Suboptimal algorithms for identification of navigation sensor errors described by Markov process

Autor: A.V. Motorin, N. D. Kruglova, V. A. Tupysev

Publikováno v: Gyroscopy and Navigation. 8:58-62

The paper discusses the algorithms identifying the parameters of Markov process correlation function based on maximum likelihood function method, least squares method, and approximation of sample characteristics. The algorithms are compared with the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aad0aa4ca067670f9fecb6af41f50c22
https://doi.org/10.1134/s2075108717010084

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Application of Polynomial-Type Filters to Integrated Navigation Systems with Modular Architecture

Autor: V. A. Tupysev, Yu. A. Litvinenko

Publikováno v: 2019 26th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS).

The problem of methods application for decentralized processing of information in case of nonlinear polynomial algorithms implementation in individual measurement modules is considered. Recursive algorithms of polynomial filtering are proposed as an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::da2c156c679b152ddd2c5ff87f1645e2
https://doi.org/10.23919/icins.2019.8769422

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Suboptimal Algorithms Identifying the Navigation Sensor Errors Described by Markov Process

Autor: A.V. Motorin, N. D. Kruglova, V. A. Tupysev

Publikováno v: Giroskopiya i Navigatsiya. 24:55-62

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fddef1a6d6fe1f4730991491759f17eb
https://doi.org/10.17285/0869-7035.2016.24.3.055-062

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Methods of Federated Filtering in the Problems of Navigation Data Processing

Autor: V. A. Tupysev, Yu. A. Litvinenko

Publikováno v: IOP Conference Series: Materials Science and Engineering. 984:012004

The paper gives an overview of federated filtering methods used in navigation data processing. The principles of designing federated filters are considered and their man properties are discussed.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::27b165369917e884ccbaaa39495571d2
https://doi.org/10.1088/1757-899x/984/1/012004

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Comparative analysis of reduced Kalman filters with guaranteed estimation quality

Autor: Yu. A. Litvinenko, V. A. Tupysev

Publikováno v: Gyroscopy and Navigation. 3:153-158

The paper gives a comparison of two methods for synthesis of reduced Kalman filters with guaranteed estimation quality. Their distinguishing feature is the fact that the matrix calculated in the covariance channel of a synthesized suboptimal filter i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::303d6596412fc49ccbb76a2efad38bdf
https://doi.org/10.1134/s207510871203008x

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