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Estimation of noise covariance matrices for periodic systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43895754" target="_blank" >RIV/49777513:23520/11:43895754 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1002/acs.1255" target="_blank" >http://dx.doi.org/10.1002/acs.1255</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/acs.1255" target="_blank" >10.1002/acs.1255</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Estimation of noise covariance matrices for periodic systems

  • Original language description

    Estimation of the noise covariance matrices for linear time-variant stochastic dynamic periodic systems is treated. The novel offline method for estimation of the covariance matrices of the state and measurement noises is designed. The method is based onanalysis of second-order statistics of the state estimate produced by the linear multi-step predictor. The estimates of the noise covariance matrices are unbiased and converge to the true values with increasing number of data. The theoretical results are illustrated in numerical examples.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP103%2F11%2F1353" target="_blank" >GAP103/11/1353: State Estimation of Dynamic Stochastic Systems</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • 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

    25

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    15

  • Pages from-to

    928-942

  • UT code for WoS article

    000295228100005

  • EID of the result in the Scopus database