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Noise covariance matrices in state-space models: A survey and comparison of estimation methods—Part I

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932590" target="_blank" >RIV/49777513:23520/17:43932590 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1002/acs.2783" target="_blank" >http://dx.doi.org/10.1002/acs.2783</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/acs.2783" target="_blank" >10.1002/acs.2783</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Noise covariance matrices in state-space models: A survey and comparison of estimation methods—Part I

  • Original language description

    This paper deals with the estimation of the noise covariance matrices of systems described by state-space models. Stress is laid on the systematic survey and classification of both the recursive and batch processing methods proposed in the literature with a special focus on the correlation methods. Besides the correlation methods, representatives of other groups are introduced also with respect to their basic idea, estimate properties, assumptions and possible extensions, and user-defined parameters. Common and dual properties of the methods are highlighted, and a simulation comparison using exemplary MATLAB implementations of the methods is provided.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International Journal of Adaptive Control and Signal Processing

  • ISSN

    0890-6327

  • e-ISSN

  • Volume of the periodical

    31

  • Issue of the periodical within the volume

    11

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    39

  • Pages from-to

    1505-1543

  • UT code for WoS article

    000415671000001

  • EID of the result in the Scopus database

    2-s2.0-85019018097